Triple

T6257336
Position Surface form Disambiguated ID Type / Status
Subject Julianne Phillips E140202 entity
Predicate appearedIn P795 FINISHED
Object Odd Jobs E580559 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: Odd Jobs | Statement: [Julianne Phillips, appearedIn, Odd Jobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odd Jobs
Context triple: [Julianne Phillips, appearedIn, Odd Jobs]
  • A. Odd Jobs chosen
    Odd Jobs is a 1986 American comedy film in which Julianne Phillips appears alongside a group of college students who start a moving business that leads to a series of misadventures.
  • B. Dirty Jobs
    Dirty Jobs is a reality television series in which host Mike Rowe explores and participates in some of the dirtiest and most unusual occupations across America.
  • C. Dirty Work
    "Dirty Work" is a soft rock song by Steely Dan, known for its smooth melody, soulful vocals, and themes of infidelity and moral compromise.
  • D. Dirty Work
    "Dirty Work" is a 1986 studio album by the Rolling Stones, known for its hard rock sound, turbulent recording period, and mixed critical reception.
  • E. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519246a588190b14ad9331e1a5eea completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:24 p.m.