Triple

T12992204
Position Surface form Disambiguated ID Type / Status
Subject Michael Apted E321931 entity
Predicate spouse P13 FINISHED
Object Dana Stevens E318059 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: Dana Stevens | Statement: [Michael Apted, spouse, Dana Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Stevens
Context triple: [Michael Apted, spouse, Dana Stevens]
  • A. Dana Stevens chosen
    Dana Stevens is an American screenwriter and producer known for writing films such as "City of Angels" and "Safe Haven," as well as creating the television series "Reckless."
  • B. Amy Brookheimer
    Amy Brookheimer is a fiercely ambitious and hyper-competent political operative who serves as Selina Meyer’s closest aide and strategist in the television series "Veep."
  • C. Meredith Ochs
    Meredith Ochs is an American radio commentator, musician, and writer best known for her work on NPR’s “All Things Considered” and her contributions to music journalism.
  • D. Katherine Borowitz
    Katherine Borowitz is an American actress known for her work in film and television and for her long-time marriage to actor and filmmaker John Turturro.
  • E. Melissa Stark
    Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:44 p.m.