Triple

T10194635
Position Surface form Disambiguated ID Type / Status
Subject Pet E238129 entity
Predicate producer P490 FINISHED
Object Carles Torrens E847602 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: Carles Torrens | Statement: [Pet, producer, Carles Torrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carles Torrens
Context triple: [Pet, producer, Carles Torrens]
  • A. Carles Torrens chosen
    Carles Torrens is a Spanish film director and screenwriter best known for his work in the horror and thriller genres, including films like "Emergo" (Apartment 143) and "Pet."
  • B. Jordi Cervera
    Jordi Cervera is a notable individual who shares the Cervera surname, recognized enough to be specifically cited as a prominent bearer of the name.
  • C. Sergi Samper
    Sergi Samper is a Spanish defensive midfielder developed at FC Barcelona’s La Masia academy who has played professionally in Spain and Japan.
  • D. Juan Dalmau
    Juan Dalmau is a Puerto Rican lawyer and politician best known as a leading figure and former gubernatorial candidate of the Puerto Rican Independence Party.
  • E. Jordi Mollà
    Jordi Mollà is a Spanish actor, director, and artist known for his intense character roles in both European cinema and Hollywood films such as "Blow" and "Bad Boys II."
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32aef701c8190a01e632eb4fda1b9 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:13 p.m.