Triple
T18334463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindergarten Cop |
E439233
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Richard Tyson |
—
|
NE NERFINISHED |
How this triple was built (2 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, castMember, Richard Tyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Tyson Context triple: [Kindergarten Cop, castMember, Richard Tyson]
-
A.
Richard Tyson
chosen
Richard Tyson is an American actor best known for playing the menacing villain Cullen Crisp in the action-comedy film "Kindergarten Cop."
-
B.
Tyson
Tyson is a major American brand of processed chicken and other meat products widely sold in grocery stores and foodservice outlets.
-
C.
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.
-
D.
Tyson
Tyson is a masculine given name commonly used in English-speaking countries.
-
E.
Tyson
Tyson is a kind-hearted Cyclops and Percy Jackson’s half-brother who plays a key supporting role in Rick Riordan’s Percy Jackson & the Olympians series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecc91148190aa820fcd466009ce |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.