Triple

T13695172
Position Surface form Disambiguated ID Type / Status
Subject Rome Howard E328365 entity
Predicate hasFriend P8712 FINISHED
Object Gary Mendez E1054571 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: Gary Mendez | Statement: [Rome Howard, hasFriend, Gary Mendez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Mendez
Context triple: [Rome Howard, hasFriend, Gary Mendez]
  • A. Gary Mendez chosen
    Gary Mendez is a central character in the drama series "A Million Little Things," known for his humor, loyalty, and struggles with personal trauma and relationships within a close-knit group of friends.
  • B. Bitores Mendez
    Bitores Mendez is a towering, mutated village chief and early-game boss in Resident Evil 4 who relentlessly hunts protagonist Leon S. Kennedy under the influence of the Las Plagas parasite.
  • C. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • D. Juan Mendoza
    Juan Mendoza was a notable Bolivian aviator after whom the airport in Oruro, Bolivia, is named.
  • E. Juan Nazario
    Juan Nazario is a Puerto Rican former professional boxer best known for winning the WBA lightweight title in the late 1980s.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.