Triple

T18182169
Position Surface form Disambiguated ID Type / Status
Subject Anthony Geary E435315 entity
Predicate name P16 FINISHED
Object Anthony Geary NE NERFINISHED

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: Anthony Geary | Statement: [Anthony Geary, name, Anthony Geary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Geary
Context triple: [Anthony Geary, name, Anthony Geary]
  • A. Anthony Geary chosen
    Anthony Geary is an American actor best known for his iconic, long-running role as Luke Spencer on the soap opera "General Hospital."
  • B. Andrew Sheridan
    Andrew Sheridan is a former England international rugby union prop renowned for his powerful scrummaging and long career with Sale Sharks.
  • C. Ian Worthington
    Ian Worthington is a classical historian and scholar best known for his work on ancient Macedonia, particularly the life and times of Alexander the Great and Demosthenes.
  • D. Anthony Snodgrass
    Anthony Snodgrass is a British classical archaeologist renowned for his influential work on early Greek archaeology and the development of the Greek polis.
  • E. Michael Fitzpatrick
    Michael Fitzpatrick is a character featured in the story of Lydia, likely serving as a significant figure in her narrative or relationships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffb3bc88190a627be9c444d5c7d completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.