Triple

T16229194
Position Surface form Disambiguated ID Type / Status
Subject American Me E393933 entity
Predicate hasCastMember P2308 FINISHED
Object Pepe Serna E1255118 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: Pepe Serna | Statement: [American Me, hasCastMember, Pepe Serna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepe Serna
Context triple: [American Me, hasCastMember, Pepe Serna]
  • A. Pepe Serna chosen
    Pepe Serna is an American character actor and voice actor known for his prolific supporting roles in film and television, including work in animated series.
  • B. Juan Molinero
    Juan Molinero is a person notable enough to be recognized as a prominent bearer of the surname Molinero.
  • C. Fernando Roig
    Fernando Roig is a Spanish businessman best known for owning and leading Villarreal CF, transforming the club into a stable and competitive force in Spanish football.
  • D. Antonio Barceló
    Antonio Barceló was an 18th-century Spanish admiral and corsair renowned for his naval campaigns against Barbary pirates and his prominent role in Mediterranean and siege warfare.
  • E. Marcelino Oreja
    Marcelino Oreja is a Spanish politician and diplomat who notably served as Secretary General of the Council of Europe and later as a European Commissioner.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673979608190905afae3071413c0 completed May 11, 2026, 5:20 a.m.
Created at: April 10, 2026, 5:03 a.m.