Triple

T25194224
Position Surface form Disambiguated ID Type / Status
Subject Glenn Rhee E630958 entity
Predicate occupationBeforeApocalypse P139940 FINISHED
Object pizza delivery boy 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: pizza delivery boy | Statement: [Glenn Rhee, occupationBeforeApocalypse, pizza delivery boy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationBeforeApocalypse
Context triple: [Glenn Rhee, occupationBeforeApocalypse, pizza delivery boy]
  • A. occupationInRevival
    Indicates that an entity holds or performs a particular occupation or role specifically during a revival event or period.
  • B. earlierOccupation
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • C. survivorOccupation
    Indicates that the person is a survivor and specifies the occupation they held (typically at or around the time of the event they survived).
  • D. professionBeforeJudgmentDay chosen
    Indicates that an entity’s profession or occupation is held or practiced prior to Judgment Day.
  • E. traditionalOccupations
    Indicates that an entity is associated with occupations or jobs that are customary, long-established, or culturally traditional within a particular community or context.
  • 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_69e75a8a6d088190ba1e82a4345225e7 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46e1206f88190bfacdc420027c354 completed May 1, 2026, 9:10 a.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 12:45 p.m.