Triple

T21638670
Position Surface form Disambiguated ID Type / Status
Subject Hostages E534029 entity
Predicate starring P1507 FINISHED
Object James Naughton NE NERFINISHED

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: James Naughton | Statement: [Hostages, starring, James Naughton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Naughton
Context triple: [Hostages, starring, James Naughton]
  • A. James Naughton chosen
    James Naughton is an American actor known for his work in film, television, and on Broadway, including his Tony Award-winning stage performances.
  • B. Alastair Siddons
    Alastair Siddons is a British screenwriter and filmmaker known for co-writing the 2018 reboot of "Tomb Raider" and directing documentary and independent film projects.
  • C. Kieron Menzies
    Kieron Menzies is a music producer and engineer known for his extensive work with Lana Del Rey and other contemporary pop and alternative artists.
  • D. John Ashton
    John Ashton is an American character actor best known for his tough, often blue-collar roles in crime and action films such as "Beverly Hills Cop" and "Midnight Run."
  • E. William Atherton
    William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538fb12481908f70ad8dbe1d99e4 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.