Triple

T16253146
Position Surface form Disambiguated ID Type / Status
Subject The Monster E394561 entity
Predicate portrayedBy P1507 FINISHED
Object Liam Neeson (voice, 2016 film) E201894 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: Liam Neeson (voice, 2016 film) | Statement: [The Monster, portrayedBy, Liam Neeson (voice, 2016 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liam Neeson (voice, 2016 film)
Context triple: [The Monster, portrayedBy, Liam Neeson (voice, 2016 film)]
  • A. Nolan North
    Nolan North is a prolific American voice actor best known for his performances in major video game franchises such as Uncharted, Assassin’s Creed, and Destiny.
  • B. John Lumic
    John Lumic is a villainous industrialist and creator of the Cybermen in the Doctor Who universe.
  • C. William John Neeson chosen
    William John Neeson is an acclaimed Irish actor, known professionally as Liam Neeson, renowned for his powerful performances in films ranging from "Schindler's List" to the "Taken" series.
  • D. Tom Kane
    Tom Kane is an American voice actor best known for his extensive work in animation and video games, including roles in the Star Wars franchise.
  • E. Crispin Freeman
    Crispin Freeman is an American voice actor known for his work in anime, video games, and animation, including prominent roles in series like Hellsing, Naruto, and Overwatch.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.