Triple

T7909842
Position Surface form Disambiguated ID Type / Status
Subject Sneaky Pete E183668 entity
Predicate starring P1507 FINISHED
Object Ethan Embry E314077 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: Ethan Embry | Statement: [Sneaky Pete, starring, Ethan Embry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethan Embry
Context triple: [Sneaky Pete, starring, Ethan Embry]
  • A. Ethan Embry chosen
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
  • B. Nicholas Woodeson
    Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
  • C. Iain De Caestecker
    Iain De Caestecker is a Scottish actor best known for his role as Leo Fitz in the Marvel television series "Agents of S.H.I.E.L.D."
  • D. Alan Ritchson
    Alan Ritchson is an American actor, model, and filmmaker best known for roles in projects like "Reacher," "Blue Mountain State," and the "Teenage Mutant Ninja Turtles" films.
  • E. Kevin Zegers
    Kevin Zegers is a Canadian actor best known for his early breakout role in the family film "Air Bud" and later appearances in projects like "Transamerica," "Gossip Girl," and "The Mortal Instruments: City of Bones."
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5db9508190bbe92673ef5a7861 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfe21f9081909d45565867ac7436 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:04 p.m.