Triple
T4441038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindergarten Cop |
E95770
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Richard Tyson
Richard Tyson is an American actor best known for playing the menacing villain Cullen Crisp in the action-comedy film "Kindergarten Cop."
|
E439233
|
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: Richard Tyson | Statement: [Kindergarten Cop, starring, Richard Tyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Tyson Context triple: [Kindergarten Cop, starring, Richard Tyson]
-
A.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
-
B.
Tyson
Tyson is a character in the musical and film "Black Nativity," contributing to its contemporary retelling of the Nativity story through a modern African-American lens.
-
C.
Exodus Tyson
Exodus Tyson was the young daughter of former heavyweight boxing champion Mike Tyson, whose tragic accidental death in 2009 drew widespread public sympathy.
-
D.
Ron Tyson
Ron Tyson is an American soul and R&B singer best known as a longtime tenor and falsetto vocalist with The Temptations.
-
E.
Milan Tyson
Milan Tyson is one of former heavyweight boxing champion Mike Tyson’s daughters, known publicly largely due to her father’s fame.
- 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: Richard Tyson Triple: [Kindergarten Cop, starring, Richard Tyson]
Generated description
Richard Tyson is an American actor best known for playing the menacing villain Cullen Crisp in the action-comedy film "Kindergarten Cop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Tyson Target entity description: Richard Tyson is an American actor best known for playing the menacing villain Cullen Crisp in the action-comedy film "Kindergarten Cop."
-
A.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
-
B.
Tyson
Tyson is a character in the musical and film "Black Nativity," contributing to its contemporary retelling of the Nativity story through a modern African-American lens.
-
C.
Exodus Tyson
Exodus Tyson was the young daughter of former heavyweight boxing champion Mike Tyson, whose tragic accidental death in 2009 drew widespread public sympathy.
-
D.
Ron Tyson
Ron Tyson is an American soul and R&B singer best known as a longtime tenor and falsetto vocalist with The Temptations.
-
E.
Milan Tyson
Milan Tyson is one of former heavyweight boxing champion Mike Tyson’s daughters, known publicly largely due to her father’s fame.
- 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.