Triple
T9392011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Boyd |
E226046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Oscar
The Oscar is a 1966 American drama film about the ruthless rise and moral downfall of a Hollywood actor, noted for its melodramatic portrayal of the film industry.
|
E796218
|
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: The Oscar | Statement: [Stephen Boyd, notableWork, The Oscar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Oscar Context triple: [Stephen Boyd, notableWork, The Oscar]
-
A.
Oscar
The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
-
B.
Oscar
Oscar is the Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
-
C.
Oscar
Oscar is a masculine given name of Old English and Norse origin, commonly used in many European and English-speaking countries.
-
D.
OSCAR
OSCAR is the proprietary messaging protocol developed by AOL to power its real-time chat and presence services across products like AIM and ICQ.
-
E.
Academy Award
The Academy Award is a prestigious film industry honor presented annually by the Academy of Motion Picture Arts and Sciences to recognize excellence in cinematic achievements.
- 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: The Oscar Triple: [Stephen Boyd, notableWork, The Oscar]
Generated description
The Oscar is a 1966 American drama film about the ruthless rise and moral downfall of a Hollywood actor, noted for its melodramatic portrayal of the film industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Oscar Target entity description: The Oscar is a 1966 American drama film about the ruthless rise and moral downfall of a Hollywood actor, noted for its melodramatic portrayal of the film industry.
-
A.
Oscar
The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
-
B.
Oscar
Oscar is the Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
-
C.
Oscar
Oscar is a masculine given name of Old English and Norse origin, commonly used in many European and English-speaking countries.
-
D.
OSCAR
OSCAR is the proprietary messaging protocol developed by AOL to power its real-time chat and presence services across products like AIM and ICQ.
-
E.
Academy Award
The Academy Award is a prestigious film industry honor presented annually by the Academy of Motion Picture Arts and Sciences to recognize excellence in cinematic achievements.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510eae0c8190b7c4ab487a366bb3 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010169d88190a7267615a9196d4b |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1024817f88190973d30bcbf0db228 |
completed | April 4, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d102b154f88190b13868ce5df59510 |
completed | April 4, 2026, 12:23 p.m. |
Created at: March 30, 2026, 7:45 p.m.