Triple
T12886334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End of the Tour |
E308232
|
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: [The End of the Tour, editor, Darrin Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrin Navarro Context triple: [The End of the Tour, 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.
Nick Davila
Nick Davila is an American arena football quarterback best known for leading the Arizona Rattlers to multiple ArenaBowl championships and earning league MVP honors.
-
C.
Jake Nava
Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
-
D.
Omar Navarro
Omar Navarro is a powerful and ruthless Mexican drug cartel boss who serves as a central antagonist in the television series "Ozark."
-
E.
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."
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714415c08190aa9944b494a3ddad |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c044388190b0832e44c59a8537 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 5:39 p.m.