Triple
T9906762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacho Libre |
E185029
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nacho |
E492941
|
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: Nacho | Statement: [Nacho Libre, mainCharacter, Nacho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nacho Context triple: [Nacho Libre, mainCharacter, Nacho]
-
A.
Nacho
chosen
Nacho is a common Spanish nickname for the given name Ignacio.
-
B.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
-
C.
Gordo
Gordo was the nickname of Gordon Cooper, one of NASA’s original Mercury Seven astronauts and a pioneering American spacefarer.
-
D.
Rusty Taco
Rusty Taco is a fast-casual restaurant chain known for its street-style tacos and laid-back atmosphere.
-
E.
Nacho Libre
Nacho Libre is a 2006 comedy film starring Jack Black as a monastery cook who becomes a masked luchador to support his orphanage.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb346c7081908300e54cd639b027 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:41 p.m.