Triple

T14929773
Position Surface form Disambiguated ID Type / Status
Subject F. Luis Mora E372229 entity
Predicate name P16 FINISHED
Object F. Luis Mora NE NERFINISHED

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: F. Luis Mora | Statement: [F. Luis Mora, name, F. Luis Mora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F. Luis Mora
Context triple: [F. Luis Mora, name, F. Luis Mora]
  • A. F. Luis Mora chosen
    F. Luis Mora was a Spanish-born American painter and illustrator known for his portraits, genre scenes, and contributions to early 20th-century American art.
  • B. Julio Fuentes
    Julio Fuentes is a recurring character on the 1970s sitcom "Sanford and Son," known as Lamont Sanford’s friend and neighbor of Puerto Rican heritage.
  • C. Miguel Inclán
    Miguel Inclán was a prominent Mexican character actor known for his memorable supporting roles in classic Mexican cinema of the 1940s and 1950s.
  • D. Tomás D. Morales
    Tomás D. Morales is an American academic administrator who serves as the president of California State University, San Bernardino, leading the institution’s strategic and educational initiatives.
  • E. Carlos M. Castillón
    Carlos M. Castillón is a film editor known for his work on major projects including Zack Snyder's Justice League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
Created at: April 10, 2026, 2:36 a.m.