Triple

T12561126
Position Surface form Disambiguated ID Type / Status
Subject Harry Hamlin E295346 entity
Predicate name P16 FINISHED
Object Harry Hamlin E295346 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: Harry Hamlin | Statement: [Harry Hamlin, name, Harry Hamlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Hamlin
Context triple: [Harry Hamlin, name, Harry Hamlin]
  • A. Harry Hamlin chosen
    Harry Hamlin is an American actor best known for his roles in the film "Clash of the Titans" and the television series "L.A. Law."
  • B. Hamlin
    Hamlin is a surname most notably associated with Hannibal Hamlin, who served as vice president of the United States under Abraham Lincoln during the Civil War.
  • C. Howard Koh
    Howard Koh is an American physician and public health leader who served as the U.S. Assistant Secretary for Health and is known for his work in cancer prevention, health disparities, and tobacco control.
  • D. Henry Kagan
    Henry Kagan is an individual notable enough to be recognized as a bearer of the surname Kagan, though specific widely known biographical details about him are not well documented.
  • E. David Barron
    David Barron is a British film producer best known for his extensive work on the Harry Potter film series.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558b307c81909ec5407af013de1d completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:48 p.m.