Triple

T9340608
Position Surface form Disambiguated ID Type / Status
Subject Dr. Manhattan E224754 entity
Predicate occupationBeforeTransformation P28984 FINISHED
Object nuclear physicist LITERAL 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: nuclear physicist | Statement: [Dr. Manhattan, occupationBeforeTransformation, nuclear physicist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationBeforeTransformation
Context triple: [Dr. Manhattan, occupationBeforeTransformation, nuclear physicist]
  • A. earlierOccupation chosen
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • B. memberLaterOccupation
    Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
  • C. occupationalChange
    Indicates a change in a person’s job, profession, or occupational status over time.
  • D. occupationType
    Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
  • E. resumedOccupation
    Indicates that an entity has returned to and continued a previous occupation or role after a period of interruption or absence.
  • F. None of above.

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.
PD Predicate disambiguation batch_69cc7a66aef08190b8d668cff5b04f5f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:40 p.m.