Triple

T4579274
Position Surface form Disambiguated ID Type / Status
Subject Snowden (2016 film) E101813 entity
Predicate starring P1507 FINISHED
Object Zachary Quinto E119265 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: Zachary Quinto | Statement: [Snowden (2016 film), starring, Zachary Quinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zachary Quinto
Context triple: [Snowden (2016 film), starring, Zachary Quinto]
  • A. Zachary Quinto chosen
    Zachary Quinto is an American actor best known for his roles as Spock in the rebooted Star Trek film series and Sylar in the television series Heroes.
  • B. James Marsden
    James Marsden is an American actor known for his roles in films like the X-Men series, Enchanted, and Hairspray, as well as prominent television work.
  • C. Karl Urban
    Karl Urban is a New Zealand actor known for roles in major franchises such as The Lord of the Rings, Star Trek, and The Boys.
  • D. Jack Shepherd
    Jack Shepherd is a British actor known for his extensive work in film, television, and theatre, including roles in productions such as "Charlotte Gray."
  • E. Victor Garber
    Victor Garber is a Canadian actor and singer known for his versatile performances in film, television, and theater, including notable roles in productions like "Titanic," "Alias," and numerous Broadway musicals.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e3e028819083c4662deb9f3c03 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.