Triple

T14044737
Position Surface form Disambiguated ID Type / Status
Subject Hand of God E337927 entity
Predicate executiveProducer P7225 FINISHED
Object Jillian Kugler E309292 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: Jillian Kugler | Statement: [Hand of God, executiveProducer, Jillian Kugler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jillian Kugler
Context triple: [Hand of God, executiveProducer, Jillian Kugler]
  • A. Jillian Kugler chosen
    Jillian Kugler is a television producer best known for her executive production work on the series "Hand of God."
  • B. Lisa Weinstein
    Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
  • C. Jessica Tuchinsky
    Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
  • D. Rose Morgan
    Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
  • E. Rachel Parris
    Rachel Parris is a British comedian, musician, and satirist best known for her work on shows like BBC Two’s "The Mash Report" and her live musical comedy performances.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.