Triple

T377710
Position Surface form Disambiguated ID Type / Status
Subject Josh Hartnett E8607 entity
Predicate name P16 FINISHED
Object Josh Hartnett E8607 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: Josh Hartnett | Statement: [Josh Hartnett, name, Josh Hartnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Hartnett
Context triple: [Josh Hartnett, name, Josh Hartnett]
  • A. Josh Hartnett chosen
    Josh Hartnett is an American actor known for his breakout roles in late-1990s and early-2000s films such as "The Faculty," "Pearl Harbor," and "Black Hawk Down," as well as later work in projects like the series "Penny Dreadful."
  • B. Dermot Mulroney
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • C. Rob Lowe
    Rob Lowe is an American actor known for his roles in films like "St. Elmo's Fire" and TV series such as "Parks and Recreation" and "9-1-1: Lone Star."
  • D. Casper Van Dien
    Casper Van Dien is an American actor best known for his leading role as Johnny Rico in the science fiction film "Starship Troopers."
  • E. Michael Beach
    Michael Beach is an American actor known for his versatile supporting roles in film and television, including prominent appearances in dramas throughout the 1990s and 2000s.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec1804108190a1e94526b71289ea completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fafca1dc8190ba8f1cdec0ba337d completed March 1, 2026, 8:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.