Triple

T1969495
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lynn Siebel E42765 entity
Predicate notableWork P4 FINISHED
Object Miss Representation E31657 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: Miss Representation | Statement: [Jennifer Lynn Siebel, notableWork, Miss Representation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Representation
Context triple: [Jennifer Lynn Siebel, notableWork, Miss Representation]
  • A. Miss Representation chosen
    Miss Representation is a 2011 documentary film that examines how mainstream media’s limited and often disparaging portrayals of women contribute to their underrepresentation in positions of power and influence.
  • B. Bombshell
    Bombshell is a 2019 drama film that dramatizes the real-life sexual harassment scandal at Fox News involving Roger Ailes, featuring Charlize Theron as one of the central whistleblowers.
  • C. Bombshell
    Bombshell is the fictional Marilyn Monroe–themed Broadway musical at the center of the TV series "Smash."
  • D. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • E. Hello Ladies: The Movie
    Hello Ladies: The Movie is a 2014 comedy film continuation of Stephen Merchant’s HBO series "Hello Ladies," following an awkward British web designer’s misadventures in Los Angeles dating culture.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.