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.