Triple

T10387145
Position Surface form Disambiguated ID Type / Status
Subject An Autobiography E244790 entity
Predicate mentionsWork P831 FINISHED
Object Unity Temple E126149 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: Unity Temple | Statement: [An Autobiography, mentionsWork, Unity Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unity Temple
Context triple: [An Autobiography, mentionsWork, Unity Temple]
  • A. Unity Temple chosen
    Unity Temple is a landmark Unitarian Universalist church in Oak Park, Illinois, renowned as one of Frank Lloyd Wright’s most important early modern architectural works.
  • B. Temple
    Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
  • C. Temple
    Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Temple
    Temple is a Paris Métro station in central Paris, serving line 3 near the Place de la République.
  • E. Temple
    Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a4e6748190bd9dd319de94c659 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbae9a9c81908178fca68eb142b6 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:05 p.m.