Triple

T9998123
Position Surface form Disambiguated ID Type / Status
Subject Alien: Covenant E197255 entity
Predicate storyBy P1955 FINISHED
Object Michael Green E126657 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 Green | Statement: [Alien: Covenant, storyBy, Michael Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Green
Context triple: [Alien: Covenant, storyBy, Michael Green]
  • A. Michael Green chosen
    Michael Green is an American screenwriter and producer known for his work on major films and television series, including projects like "Logan," "Blade Runner 2049," and "American Gods."
  • B. Michael Green
    Michael Green is a prominent British theoretical physicist known for his pioneering work in string theory and quantum gravity.
  • C. David M. Green
    David M. Green is a distinguished figure in the field of acoustics recognized for his significant contributions with the prestigious ASA Gold Medal.
  • D. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • E. J. Scott Thompson
    J. Scott Thompson is an American rowing figure best known for founding the prestigious Head of the Charles Regatta in Boston.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8c78448190a5332f4ff8a7b3dd completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.