Triple

T13037133
Position Surface form Disambiguated ID Type / Status
Subject George Hartnett E326590 entity
Predicate hasName P744 FINISHED
Object George Hartnett E326590 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: George Hartnett | Statement: [George Hartnett, hasName, George Hartnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Hartnett
Context triple: [George Hartnett, hasName, George Hartnett]
  • A. George Hartnett chosen
    George Hartnett is a notable individual distinguished enough to be recognized as a prominent bearer of the Hartnett surname.
  • B. R. G. Tifft
    R. G. Tifft is an astronomer known for his work on galaxy observations, including the discovery of the Tucana Dwarf Galaxy.
  • C. Joseph Hartnett
    Joseph Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific widely known achievements or roles are not clearly documented.
  • D. Robert Hartnett
    Robert Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
  • E. John C. Hitt
    John C. Hitt is an American academic leader best known for his long tenure as president of the University of Central Florida, during which he oversaw major growth in the institution’s size, reputation, and research profile.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75469a3f08190a7e417872147b455 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 8:55 p.m.