Triple

T4356304
Position Surface form Disambiguated ID Type / Status
Subject X-Men (film series) E98154 entity
Predicate notableActor P7010 FINISHED
Object James McAvoy E244681 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: James McAvoy | Statement: [X-Men (film series), notableActor, James McAvoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James McAvoy
Context triple: [X-Men (film series), notableActor, James McAvoy]
  • A. James McAvoy chosen
    James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
  • B. Armie Hammer
    Armie Hammer is an American actor best known for his breakout dual role as the Winklevoss twins in "The Social Network" and for starring in films such as "Call Me by Your Name."
  • C. Eddie Redmayne
    Eddie Redmayne is an English actor acclaimed for his transformative performances in film and theatre, including his Oscar-winning role in "The Theory of Everything."
  • D. Jude Law
    Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
  • E. Dane DeHaan
    Dane DeHaan is an American actor known for his intense, often offbeat performances in films such as Chronicle, The Amazing Spider-Man 2, and Valerian and the City of a Thousand Planets.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c5773481908446d84897e7a533 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb9b9988190adf8a84de3582ab6 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.