Triple
T9789343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Guns |
E237567
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Emilio Estevez |
E158070
|
NE FINISHED |
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: Emilio Estevez | Statement: [Young Guns, starredActor, Emilio Estevez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilio Estevez Context triple: [Young Guns, starredActor, Emilio Estevez]
-
A.
Emilio Estevez
chosen
Emilio Estevez is an American actor, director, and writer known for films like "The Breakfast Club," "St. Elmo's Fire," and "The Mighty Ducks" series.
-
B.
Joe Estevez
Joe Estevez is an American character actor known for his extensive work in low-budget and independent films and for being the younger brother of actor Martin Sheen.
-
C.
Owen Kline
Owen Kline is an American actor and filmmaker best known for his role in the film "The Squid and the Whale" and for directing the dark comedy "Funny Pages."
-
D.
Ray Liotta
Ray Liotta was an American actor best known for his intense, charismatic performances in films such as "Goodfellas," "Field of Dreams," and numerous crime and drama roles.
-
E.
Matthew Modine
Matthew Modine is an American actor best known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:27 p.m.