Triple

T10528567
Position Surface form Disambiguated ID Type / Status
Subject Eduard Nápravník E248370 entity
Predicate notableWork P4 FINISHED
Object Harold E9958 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: Harold | Statement: [Eduard Nápravník, notableWork, Harold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold
Context triple: [Eduard Nápravník, notableWork, Harold]
  • A. Harold chosen
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Harold Crick
    Harold Crick is the meticulous IRS auditor and unsuspecting protagonist of the metafictional film "Stranger Than Fiction," whose life begins mirroring a narrated novel.
  • C. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • D. Gerald
    Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • E. Gerald
    Gerald is a central character in the British comedy film "The Full Monty," portrayed as a former factory foreman who joins a group of unemployed men planning a striptease act to make ends meet.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.