Triple
T10751021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Joe |
E253570
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Darrin Navarro |
E878538
|
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: Darrin Navarro | Statement: [Killer Joe, editor, Darrin Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrin Navarro Context triple: [Killer Joe, editor, Darrin Navarro]
-
A.
Darrin Navarro
chosen
Darrin Navarro is a film editor known for his work on feature films such as "Brain on Fire."
-
B.
Jake Nava
Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
-
C.
Mark Dacascos
Mark Dacascos is an American actor and martial artist known for his roles in action films and television, as well as for serving as the Chairman on the TV show "Iron Chef America."
-
D.
Javier Navarro
Javier Navarro is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Doneen Arquines
Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc0ad188190b747bf9d10cf5de5 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84a63de0819085f1e982c8348811 |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:15 p.m.