Triple

T2620651
Position Surface form Disambiguated ID Type / Status
Subject The Naked and the Dead E58999 entity
Predicate hasMainCharacter P1183 FINISHED
Object Martinez E28750 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: Martinez | Statement: [The Naked and the Dead, hasMainCharacter, Martinez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martinez
Context triple: [The Naked and the Dead, hasMainCharacter, Martinez]
  • A. Martinez chosen
    Martinez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • B. Martinez, California
    Martinez, California is a historic waterfront city in the San Francisco Bay Area known as the county seat of Contra Costa County and for its role as a regional rail and transportation hub.
  • C. Vallejo
    Vallejo is a waterfront city in the San Francisco Bay Area known for its former Mare Island Naval Shipyard and diverse, working-class community.
  • D. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • E. San Fernando
    San Fernando is a coastal city in the Province of Cádiz, Andalusia, Spain, known for its naval base, salt marshes, and historical role in the Spanish War of Independence.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd897acb481909a976b70304cc30e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ec0cc8190ab8feb8f237eac4b completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.