Triple
T14608094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean cinema |
E342884
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object | Nicolás López |
E1056866
|
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: Nicolás López | Statement: [Chilean cinema, notableDirector, Nicolás López]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolás López Context triple: [Chilean cinema, notableDirector, Nicolás López]
-
A.
Nicolás López
chosen
Nicolás López is a Chilean filmmaker and screenwriter known for writing and directing popular Spanish-language comedies and genre films.
-
B.
Pablo Loperena
Pablo Loperena is a science fiction fan and fanzine editor known for his work on the Hugo Award-winning fanzine Journey Planet.
-
C.
Nicolás Sánchez
Nicolás Sánchez is an Argentine rugby union fly-half renowned for his prolific goal-kicking and playmaking, notably starring as the leading points scorer at the 2015 Rugby World Cup.
-
D.
Nicolás Vázquez
Nicolás Vázquez is an Argentine actor and television host known for his roles in popular Spanish-language series and films.
-
E.
Guillermo Estrella
Guillermo Estrella is an actor best known for his role in Alejandro González Iñárritu’s acclaimed drama film "Biutiful."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94d09e988190a2a2a1332397b412 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.