Triple
T4441072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindergarten Cop |
E95770
|
entity |
| Predicate | award |
P107
|
FINISHED |
| Object |
BMI Film Music Award for Randy Edelman
The BMI Film Music Award for Randy Edelman is a film music honor recognizing composer Randy Edelman’s score for the action-comedy movie "Kindergarten Cop."
|
E439237
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BMI Film Music Award for Randy Edelman | Statement: [Kindergarten Cop, award, BMI Film Music Award for Randy Edelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMI Film Music Award for Randy Edelman Context triple: [Kindergarten Cop, award, BMI Film Music Award for Randy Edelman]
-
A.
BMI Film Music Award for John Williams
The BMI Film Music Award for John Williams is a recognition given by Broadcast Music, Inc. honoring John Williams’s acclaimed score for the film "The Terminal."
-
B.
Academy Award for Best Original Score
The Academy Award for Best Original Score is an Oscar given annually to honor the most outstanding original music composed specifically for a motion picture.
-
C.
A Beautiful Mind (film score)
A Beautiful Mind (film score) is James Horner’s Academy Award–winning musical soundtrack for the 2001 biographical drama film about mathematician John Nash, noted for its lyrical themes and emotional depth.
-
D.
Grammy Award for Best Score Soundtrack for Visual Media
The Grammy Award for Best Score Soundtrack for Visual Media is a prestigious music industry honor recognizing outstanding original score albums composed for films, television, and other visual media.
-
E.
Academy Award for Best Original Song Score for Purple Rain
The Academy Award for Best Original Song Score for Purple Rain is the Oscar that recognized Prince’s groundbreaking music for the 1984 film "Purple Rain," honoring its original songs and overall musical score.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BMI Film Music Award for Randy Edelman Triple: [Kindergarten Cop, award, BMI Film Music Award for Randy Edelman]
Generated description
The BMI Film Music Award for Randy Edelman is a film music honor recognizing composer Randy Edelman’s score for the action-comedy movie "Kindergarten Cop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMI Film Music Award for Randy Edelman Target entity description: The BMI Film Music Award for Randy Edelman is a film music honor recognizing composer Randy Edelman’s score for the action-comedy movie "Kindergarten Cop."
-
A.
BMI Film Music Award for John Williams
The BMI Film Music Award for John Williams is a recognition given by Broadcast Music, Inc. honoring John Williams’s acclaimed score for the film "The Terminal."
-
B.
Academy Award for Best Original Score
The Academy Award for Best Original Score is an Oscar given annually to honor the most outstanding original music composed specifically for a motion picture.
-
C.
A Beautiful Mind (film score)
A Beautiful Mind (film score) is James Horner’s Academy Award–winning musical soundtrack for the 2001 biographical drama film about mathematician John Nash, noted for its lyrical themes and emotional depth.
-
D.
Grammy Award for Best Score Soundtrack for Visual Media
The Grammy Award for Best Score Soundtrack for Visual Media is a prestigious music industry honor recognizing outstanding original score albums composed for films, television, and other visual media.
-
E.
Academy Award for Best Original Song Score for Purple Rain
The Academy Award for Best Original Song Score for Purple Rain is the Oscar that recognized Prince’s groundbreaking music for the 1984 film "Purple Rain," honoring its original songs and overall musical score.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6143adefc81908f6c639906e0fd1a |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614b00dbc8190a7ea0477bedbc96a |
completed | March 15, 2026, 2:08 a.m. |
Created at: March 12, 2026, 11:32 p.m.