Triple

T9340663
Position Surface form Disambiguated ID Type / Status
Subject Nite Owl II E224755 entity
Predicate ally P4662 FINISHED
Object Dr. Manhattan E224754 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: Dr. Manhattan | Statement: [Nite Owl II, ally, Dr. Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Manhattan
Context triple: [Nite Owl II, ally, Dr. Manhattan]
  • A. Dr. Manhattan chosen
    Dr. Manhattan is a godlike blue superhuman with near-omnipotent powers and a detached view of humanity, central to the Watchmen universe.
  • B. Absorbing Man
    Absorbing Man is a Marvel Comics supervillain, often depicted as a formidable foe of heroes like Thor and the Hulk, who can magically absorb the properties of anything he touches.
  • C. Nick Metropolis
    Nick Metropolis was a pioneering physicist and computer scientist known for his work on early computers and the development of the Metropolis algorithm in statistical physics and Monte Carlo methods.
  • D. Maxwell Lord
    Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
  • E. Negative Man
    Negative Man is a DC Comics superhero and longtime member of the Doom Patrol, known for his radioactive bandaged appearance and ability to project a powerful "negative" energy being from his body.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bae2e2481909effc2dc89a642c5 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3bad4388190ac53657027262a46 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:40 p.m.