Triple

T17084559
Position Surface form Disambiguated ID Type / Status
Subject Network (screenplay) E414560 entity
Predicate centralCharacter P9202 FINISHED
Object Diana Christensen 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: Diana Christensen | Statement: [Network (screenplay), centralCharacter, Diana Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Christensen
Context triple: [Network (screenplay), centralCharacter, Diana Christensen]
  • A. Diana Christensen chosen
    Diana Christensen is the ambitious, coldly calculating television executive and central antagonist in the 1976 satirical film "Network."
  • B. Tina Christensen
    Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
  • C. Michelle Christensen
    Michelle Christensen is an American automotive designer best known as the lead exterior designer of the Acura ZDX and one of the first women to head the design of a supercar for a major automaker.
  • D. Christine Olsen
    Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
  • E. Susan Christensen
    Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe60d588190963ccd4c86af1233 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.