Triple
T13702868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawbreaker |
E328562
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Darren Stein |
E1056900
|
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: Darren Stein | Statement: [Jawbreaker, writer, Darren Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darren Stein Context triple: [Jawbreaker, writer, Darren Stein]
-
A.
Darren Stein
chosen
Darren Stein is an American filmmaker best known for directing the dark teen comedy cult classic "Jawbreaker."
-
B.
Darren Albert
Darren Albert is a former Australian rugby league winger best known for scoring the last-minute try that won the 1997 ARL Grand Final for the Newcastle Knights.
-
C.
Darren Lemke
Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
-
D.
Darren Robinson
Darren Robinson is a writer known for his work on the project or publication titled "Uproar."
-
E.
Darrin Stephens
Darrin Stephens is the bumbling yet well-meaning advertising executive husband of witch Samantha Stephens on the classic 1960s TV sitcom "Bewitched."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06554748190bf76e3383413a3c4 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.