Triple

T6137379
Position Surface form Disambiguated ID Type / Status
Subject Susan Moore, Alabama E136867 entity
Predicate hasName P744 FINISHED
Object Susan Moore E538508 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: Susan Moore | Statement: [Susan Moore, Alabama, hasName, Susan Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Moore
Context triple: [Susan Moore, Alabama, hasName, Susan Moore]
  • A. Susan Moore chosen
    Susan Moore is a fictional character portrayed by actress Lauren Hutton in the film "Welcome to L.A."
  • B. Rachel Moore
    Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
  • C. Michelle Stevens
    Michelle Stevens is a relatively common personal name that may refer to multiple individuals across different fields, rather than a single widely recognized public figure.
  • D. Mary Barnes
    Mary Barnes is known primarily as the wife of prominent American modernist architect Edward Larrabee Barnes.
  • E. Laura Bonham Carter
    Laura Bonham Carter was a British Liberal political figure and member of the prominent Bonham Carter family, known for her marriage to Liberal Party leader Jo Grimond.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c83aefc8190b0e250e96f2b10b4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ece259c8190b7258859a35ca4fd completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:15 p.m.