Triple
T6538186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Carrillo |
E168218
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Pancho |
E310383
|
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: Pancho | Statement: [Leo Carrillo, notableRole, Pancho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pancho Context triple: [Leo Carrillo, notableRole, Pancho]
-
A.
Pancho
chosen
Pancho is a common Spanish nickname typically used as a familiar or affectionate form of the given name Francisco.
-
B.
Poncho Ramirez
Poncho Ramirez is a character from the Predator franchise, typically depicted as a skilled and battle-hardened member of an elite military team.
-
C.
Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
-
D.
Paco
Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
-
E.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add4b7f881909e485325c353f51c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5389fac8190bbad946de79d6086 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:49 p.m.