Triple

T2297679
Position Surface form Disambiguated ID Type / Status
Subject Tamsin Egerton E51654 entity
Predicate partner P1136 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: [Tamsin Egerton, partner, Josh Hartnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Hartnett
Context triple: [Tamsin Egerton, partner, 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. Wes Bentley
    Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
  • C. Stephen Dorff
    Stephen Dorff is an American actor known for his intense performances in films such as "Blade," "Somewhere," and numerous independent and genre movies.
  • D. Justin Henry
    Justin Henry is an American former child actor best known for his Oscar-nominated role as Billy Kramer in the film "Kramer vs. Kramer."
  • E. Garrett Hedlund
    Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5df37808190ba6a43dc1e9e723a completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8954a804819092c716582f23af14 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.