Triple

T7354595
Position Surface form Disambiguated ID Type / Status
Subject The Last of Sheila E169590 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
 E658444 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: [The Last of Sheila, mainCharacter, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christine
Context triple: [The Last of Sheila, mainCharacter, Christine]
  • A. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • B. Christine
    Christine is a feminine given name of Greek origin meaning "follower of Christ," widely used in many Western countries.
  • C. Christine
    "Christine" is a 1980 post-punk/gothic rock single by Siouxsie and the Banshees, noted for its dark, atmospheric sound and psychologically themed lyrics.
  • D. Christine
    Christine is a horror novel by Stephen King about a possessed 1958 Plymouth Fury that exerts a deadly influence over its owner.
  • E. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • 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: [The Last of Sheila, mainCharacter, Christine]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christine
Target entity description: 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.
  • A. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • B. 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.
  • C. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • D. Christine
    "Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
  • E. Christine
    Christine is a horror novel by Stephen King about a possessed 1958 Plymouth Fury that exerts a deadly influence over its owner.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fc2c90488190bd3aa5bf72606723 completed March 28, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb2605c819080697768d00c77d7 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:05 p.m.