Triple

T12859156
Position Surface form Disambiguated ID Type / Status
Subject Howard Beale E307537 entity
Predicate interactsWith P3970 FINISHED
Object Diana Christensen E1001490 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: Diana Christensen | Statement: [Howard Beale, interactsWith, Diana Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Christensen
Context triple: [Howard Beale, interactsWith, 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. Christine Olsen
    Christine Olsen is an Australian film producer best known for her work on the acclaimed drama "Rabbit-Proof Fence."
  • D. Susan Christensen
    Susan Christensen is an American jurist who serves as the Chief Justice of the Iowa Supreme Court.
  • E. Diana Parker
    Diana Parker is a character in Jane Austen’s unfinished novel "Sanditon," depicted as one of the hypochondriacal Parker siblings involved in promoting the seaside resort.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8cb31dc8190a0dd03ab600d615c completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:37 p.m.