Triple

T13243101
Position Surface form Disambiguated ID Type / Status
Subject Resh Lakish E315328 entity
Predicate occupationBeforeRepentance P107616 FINISHED
Object bandit 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: bandit | Statement: [Resh Lakish, occupationBeforeRepentance, bandit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occupationBeforeRepentance
Context triple: [Resh Lakish, occupationBeforeRepentance, bandit]
  • A. earlierOccupation
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • B. occupationBeforeDeification
    Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
  • C. characterFormerOccupation
    Indicates that a character previously held a specific occupation but no longer does.
  • D. hasPastOccupation chosen
    Indicates that an entity previously held a particular job, role, or occupation in the past.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d59e84c8190a9e547d0fe26a5f9 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:23 p.m.