Triple

T12225452
Position Surface form Disambiguated ID Type / Status
Subject Agnes Moorehead E291337 entity
Predicate hasSurname P18 FINISHED
Object Moorehead E291337 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: Moorehead | Statement: [Agnes Moorehead, hasSurname, Moorehead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moorehead
Context triple: [Agnes Moorehead, hasSurname, Moorehead]
  • A. Moorehead chosen
    Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
  • B. Belzoni
    Belzoni is an Italian surname most famously associated with Giovanni Battista Belzoni, a 19th-century explorer and pioneer of Egyptian archaeology.
  • C. Moncure
    Moncure is a masculine given name most notably borne by the American abolitionist and writer Moncure Daniel Conway.
  • D. Crumwell
    Crumwell is an alternative spelling variant of the surname Cromwell, historically associated with the prominent English statesman Oliver Cromwell.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.