Triple
T14658397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razor Charlie |
E344170
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Danny Trejo |
E68994
|
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: Danny Trejo | Statement: [Razor Charlie, portrayedBy, Danny Trejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Trejo Context triple: [Razor Charlie, portrayedBy, Danny Trejo]
-
A.
Danny Trejo
chosen
Danny Trejo is an American character actor known for his tough-guy roles in action and crime films, often portraying hardened criminals or antiheroes.
-
B.
Gilbert Trejo
Gilbert Trejo is an American filmmaker and actor, known as the son of character actor Danny Trejo and for directing and appearing in independent film projects.
-
C.
Pedro de Montoya
Pedro de Montoya was a Spanish Franciscan missionary and linguist known for his influential early 17th-century Guaraní grammar and dictionary in colonial Paraguay.
-
D.
Antonio Negret
Antonio Negret is a Colombian film and television director known for action-driven projects such as the feature film "Overdrive" and episodes of popular TV series.
-
E.
Jose Pablo Cantillo
Jose Pablo Cantillo is an American actor best known for his supporting roles in action films and television series such as "Crank" and "The Walking Dead."
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07acd748190b2821dee21ecd740 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.