Triple

T17209736
Position Surface form Disambiguated ID Type / Status
Subject Antonio Campos E417692 entity
Predicate directed P7373 FINISHED
Object Christine
"Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
E375963 NE FINISHED

How this triple was built (4 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 | Statement: [Antonio Campos, directed, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Antonio Campos, directed, Christine]
  • A. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • B. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is the given first name of American singer, songwriter, and actress Christina Milian.
  • E. Christine
    Christine is a 1983 horror film directed by John Carpenter about a possessed, malevolent 1958 Plymouth Fury.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Christine
Triple: [Antonio Campos, directed, Christine]
Generated description
"Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine
Target entity description: "Christine" is a 2016 biographical drama film about troubled news reporter Christine Chubbuck, exploring her mental health struggles and professional pressures leading up to her on-air suicide.
  • A. Christine chosen
    "Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
  • B. Christine
    Christine is a character featured in the Netflix anthology crime series "Kaleidoscope."
  • C. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • D. Christine
    Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
  • E. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • F. None of above.

Provenance (5 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016c03dab88190926c36f2e6b55861 completed May 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a016cba568481908920fe42cae5f153 completed May 11, 2026, 5:44 a.m.
Created at: April 10, 2026, 5:38 a.m.