Triple

T3786337
Position Surface form Disambiguated ID Type / Status
Subject Lost E85538 entity
Predicate leadActor P1507 FINISHED
Object Josh Holloway E201654 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 Holloway | Statement: [Lost, leadActor, Josh Holloway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Holloway
Context triple: [Lost, leadActor, Josh Holloway]
  • A. Josh Holloway chosen
    Josh Holloway is an American actor best known for his role as James "Sawyer" Ford on the television series Lost and for appearing in various action and thriller films.
  • B. Josh Dallas
    Josh Dallas is an American actor best known for his roles as Prince Charming/David Nolan on the TV series "Once Upon a Time" and as Ben Stone on "Manifest."
  • C. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • D. Scott Bakula
    Scott Bakula is an American actor best known for his leading roles in the science-fiction television series "Quantum Leap" and "Star Trek: Enterprise."
  • E. Tim Daly
    Tim Daly is an American actor best known for his roles in television series such as "Wings" and "Madam Secretary," as well as his voice work as Superman in animated DC productions.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1c90648190a76cee07508a83b9 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:13 p.m.