Triple

T15254116
Position Surface form Disambiguated ID Type / Status
Subject Deborah Kara Unger E364598 entity
Predicate portrayedCharacter P1668 FINISHED
Object Christine
Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
 E1146829 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: [Deborah Kara Unger, portrayedCharacter, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [Deborah Kara Unger, portrayedCharacter, 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 fictional character from the 1951 British drama film "Journey into Light."
  • C. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • D. 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.
  • E. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • 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: [Deborah Kara Unger, portrayedCharacter, Christine]
Generated description
Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christine
Target entity description: Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
  • A. Christine
    Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
  • B. Christine
    "Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
  • C. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • D. 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.
  • E. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • F. None of above. chosen

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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f572348190bd7719805e257e03 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6c109c48190952809c389e4b92b completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee897a7248190b3d81ea1da1d49e1 completed May 9, 2026, 7:56 a.m.
Created at: April 10, 2026, 3:13 a.m.