Triple

T11987648
Position Surface form Disambiguated ID Type / Status
Subject "Brave" E285321 entity
Predicate hasEditor P1954 FINISHED
Object Roberto Henríquez E285321 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: Roberto Henríquez | Statement: ["Brave", hasEditor, Roberto Henríquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Henríquez
Context triple: ["Brave", hasEditor, Roberto Henríquez]
  • A. Roberto Henríquez chosen
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • B. Raul Hernandez
    Raul Hernandez was a member of Brigade 2506, the CIA-backed Cuban exile force that participated in the failed 1961 Bay of Pigs invasion against Fidel Castro’s government.
  • C. Sergio Reyes
    Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
  • D. Leonardo Márquez
    Leonardo Márquez was a Mexican conservative general notorious for his brutal tactics and prominent role in mid-19th-century civil conflicts, including the War of the Reform.
  • E. Christian Gómez
    Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbac5b0881908cc98458f1b3004d completed May 3, 2026, 4:14 a.m.
Created at: April 8, 2026, 9:46 p.m.