Triple

T4945709
Position Surface form Disambiguated ID Type / Status
Subject Shirley Temple E111044 entity
Predicate familyName P18 FINISHED
Object Temple E436164 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: Temple | Statement: [Shirley Temple, familyName, Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temple
Context triple: [Shirley Temple, familyName, Temple]
  • A. Temple
    Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
  • B. Temple
    Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
  • C. Temple chosen
    Temple is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. The Temple
    The Temple is a large, spiritually themed art installation at Burning Man that serves as a communal space for reflection, mourning, and symbolic release before being ceremonially burned.
  • E. Temple IV
    Temple IV is one of the tallest and most iconic Mayan pyramid-temples at the ancient city of Tikal in Guatemala, renowned for its towering height and panoramic views over the surrounding rainforest.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c6566c8190b0c76c05b9d82053 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.