Triple
T15785064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Davey |
E382715
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | Get the Gringo |
E1003174
|
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: Get the Gringo | Statement: [Bruce Davey, producerOf, Get the Gringo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get the Gringo Context triple: [Bruce Davey, producerOf, Get the Gringo]
-
A.
Get the Gringo
chosen
Get the Gringo is a 2012 action crime film starring Mel Gibson as a career criminal navigating the dangers of a corrupt Mexican prison.
-
B.
Gringo
"Gringo" is a popular dancehall song by Ghanaian artist Shatta Wale, known for its catchy hook and cinematic Western-themed music video.
-
C.
Gringo
Gringo is a dark comedy–crime film in which Paris Jackson appears alongside an ensemble cast in a story about a businessman caught up in a dangerous scheme in Mexico.
-
D.
Gringos
Gringos is a darkly comic novel by Charles Portis that follows an American expatriate and tomb raider entangled in eccentric adventures in Mexico.
-
E.
The Man Called Gringo
The Man Called Gringo is a 1965 West German–Spanish Western film featuring actor Gert Fröbe in its cast.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a4661481909d04bcb9f5043a6b |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.