Triple

T15297708
Position Surface form Disambiguated ID Type / Status
Subject The Special Relationship E365701 entity
Predicate producer P490 FINISHED
Object Christine Langan E247975 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: Christine Langan | Statement: [The Special Relationship, producer, Christine Langan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Langan
Context triple: [The Special Relationship, producer, Christine Langan]
  • A. Christine Langan chosen
    Christine Langan is a British film and television producer known for her work on acclaimed dramas and for leading BBC Films.
  • B. Cynthia Geary
    Cynthia Geary is an American actress best known for her Emmy-nominated role as Shelly Tambo on the television series "Northern Exposure."
  • C. Catherine Kellner
    Catherine Kellner is an American actress known for supporting roles in films such as Pearl Harbor and various independent movies and television series.
  • D. Helen Winkler
    Helen Winkler is an arts patron and founder of the Dia Art Foundation, known for supporting ambitious, long-term projects by contemporary artists.
  • E. Christine Hughes
    Christine Hughes is a central character on the American sitcom "Yes, Dear," portrayed as a practical, often exasperated wife and mother navigating family life and the antics of her extended relatives.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89bb46481908f27fa98eb6ac5c3 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.