Triple

T16317124
Position Surface form Disambiguated ID Type / Status
Subject Paul Attanasio E396198 entity
Predicate spouse P13 FINISHED
Object Katie Jacobs NE NERFINISHED

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: Katie Jacobs | Statement: [Paul Attanasio, spouse, Katie Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Jacobs
Context triple: [Paul Attanasio, spouse, Katie Jacobs]
  • A. Katie Jacobs chosen
    Katie Jacobs is an American television producer and director best known for her work on the medical drama series "House."
  • B. Katie Morgan
    Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
  • C. Katie Newman
    Katie Newman is a television producer best known for her executive production work on the NBC sitcom "Lopez vs Lopez."
  • D. Katie Yeager
    Katie Yeager is a reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom 3.
  • E. Katie McNeil
    Katie McNeil is an American talent manager best known for her work in the music industry and for being married to singer-songwriter Neil Diamond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b31b988190bb1fde36dae11bbd completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:06 a.m.