Triple

T14766220
Position Surface form Disambiguated ID Type / Status
Subject My Generation E347001 entity
Predicate portrayedBy P1507 FINISHED
Object Michael Stahl-David E455203 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: Michael Stahl-David | Statement: [My Generation, portrayedBy, Michael Stahl-David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Stahl-David
Context triple: [My Generation, portrayedBy, Michael Stahl-David]
  • A. Michael Stahl-David chosen
    Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
  • B. Eric Marienthal
    Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
  • C. Jeremy Stoppelman
    Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
  • D. David Winkler
    David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
  • E. Jon Shestack
    Jon Shestack is an American film producer known for working on a range of studio and independent movies, including the romantic comedy-drama "Dan in Real Life."
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86ea50c819083d0bbed4c459041 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:30 a.m.