Triple

T14653692
Position Surface form Disambiguated ID Type / Status
Subject Destroyer E344054 entity
Predicate starring P1507 FINISHED
Object Scoot McNairy E131384 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: Scoot McNairy | Statement: [Destroyer, starring, Scoot McNairy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scoot McNairy
Context triple: [Destroyer, starring, Scoot McNairy]
  • A. Scoot McNairy chosen
    Scoot McNairy is an American actor and producer known for his roles in films like "Argo," "Gone Girl," and "12 Years a Slave," as well as the TV series "Halt and Catch Fire."
  • B. Wes Chatham
    Wes Chatham is an American actor best known for his role as mechanic Amos Burton in the science fiction television series "The Expanse."
  • C. Daniel Henney
    Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
  • D. Joel Edgerton
    Joel Edgerton is an Australian actor, filmmaker, and screenwriter known for roles in films such as "Warrior," "The Great Gatsby," and "Loving," as well as for writing, directing, and starring in "The Gift."
  • E. James Badge Dale
    James Badge Dale is an American actor known for his intense character roles in film and television, including performances in projects like "The Pacific," "Iron Man 3," and "World War Z."
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5db85648190b0e5b1c0827fa9f4 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.