Triple

T23140327
Position Surface form Disambiguated ID Type / Status
Subject The Words E577441 entity
Predicate hasCharacter P2308 FINISHED
Object Celia
Celia is a character in the film "The Words," involved in the emotionally complex narrative surrounding authorship, love, and the consequences of literary deception.
E1576026 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: Celia | Statement: [The Words, hasCharacter, Celia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celia
Context triple: [The Words, hasCharacter, Celia]
  • A. Celia
    Celia is a 2020 Afrobeats and R&B studio album by Nigerian singer Tiwa Savage that blends contemporary African pop with global influences.
  • B. Celia
    Celia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • C. Celia
    Celia is a central character in Shakespeare’s comedy "As You Like It," known as Rosalind’s devoted cousin and companion who joins her in exile to the Forest of Arden.
  • D. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • E. Celia
    "Celia" is a celebrated jazz composition by pianist Bud Powell, known as one of his signature bebop pieces.
  • 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: Celia
Triple: [The Words, hasCharacter, Celia]
Generated description
Celia is a character in the film "The Words," involved in the emotionally complex narrative surrounding authorship, love, and the consequences of literary deception.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celia
Target entity description: Celia is a character in the film "The Words," involved in the emotionally complex narrative surrounding authorship, love, and the consequences of literary deception.
  • A. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • B. Celia
    Celia is a supporting character in the 1991 Australian psychological drama film "Proof," involved in the tense emotional dynamics surrounding the blind protagonist.
  • C. Celia
    Celia is a central fictional character in Robin Cook’s medical thriller "Cantor’s Dilemma," involved in the ethical and personal conflicts surrounding cutting-edge cancer research.
  • D. Celia
    Celia is a central character in Shakespeare’s comedy "As You Like It," known as Rosalind’s devoted cousin and companion who joins her in exile to the Forest of Arden.
  • E. Celia
    Celia is a supporting character in the television comedy series "Blunt Talk," which follows the chaotic life of a British news anchor in Los Angeles.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f3d44a8819086dc22a62313de0b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c3fec592c8190a8d8ae47f310edd7 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4064012c819083b2ffe795226ab6 completed May 19, 2026, 10:50 a.m.
Created at: April 17, 2026, 4 p.m.