Triple

T8433373
Position Surface form Disambiguated ID Type / Status
Subject Groot E199167 entity
Predicate motionCaptureBy P21510 FINISHED
Object Sean Gunn E256910 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: Sean Gunn | Statement: [Groot, motionCaptureBy, Sean Gunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Gunn
Context triple: [Groot, motionCaptureBy, Sean Gunn]
  • A. Sean Gunn chosen
    Sean Gunn is an American actor best known for playing Kraglin in the Marvel Cinematic Universe and for his role as Kirk Gleason on the television series Gilmore Girls.
  • B. Connor Trinneer
    Connor Trinneer is an American actor best known for his role as Commander Charles "Trip" Tucker III on the science fiction television series Star Trek: Enterprise.
  • C. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • D. Brian Murray
    Brian Murray was a South African-born actor and voice artist best known in animation for voicing the cyborg cook John Silver in Disney’s film "Treasure Planet."
  • E. Colin Donnell
    Colin Donnell is an American actor best known for his television roles in series such as "Arrow" and "Chicago Med," as well as his work on Broadway.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4576d48c8190a3e94d8ab3001b65 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399e8efc8190ad6fa8a6cf91797c completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.