Triple
T19393355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp Objects |
E485121
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Camille Preaker
Camille Preaker is the troubled, self-harming journalist protagonist of Gillian Flynn’s novel "Sharp Objects," who returns to her hometown to investigate a series of murders while confronting her traumatic past.
|
E1373620
|
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: Camille Preaker | Statement: [Sharp Objects, mainCharacter, Camille Preaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camille Preaker Context triple: [Sharp Objects, mainCharacter, Camille Preaker]
-
A.
Camille
Camille is a 1921 American silent drama film adaptation of Alexandre Dumas fils' novel "La Dame aux Camélias."
-
B.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
-
C.
Camille
Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
-
D.
Camille
Camille is a character in Tennessee Williams’ play "Camino Real," a dreamlike drama set in a surreal, decaying town.
-
E.
Elizabeth Cobb
Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
- 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: Camille Preaker Triple: [Sharp Objects, mainCharacter, Camille Preaker]
Generated description
Camille Preaker is the troubled, self-harming journalist protagonist of Gillian Flynn’s novel "Sharp Objects," who returns to her hometown to investigate a series of murders while confronting her traumatic past.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camille Preaker Target entity description: Camille Preaker is the troubled, self-harming journalist protagonist of Gillian Flynn’s novel "Sharp Objects," who returns to her hometown to investigate a series of murders while confronting her traumatic past.
-
A.
Camille
Camille is a 1921 American silent drama film adaptation of Alexandre Dumas fils' novel "La Dame aux Camélias."
-
B.
Camille
Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
-
C.
Camille
Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
-
D.
Camille
Camille is a character in Tennessee Williams’ play "Camino Real," a dreamlike drama set in a surreal, decaying town.
-
E.
Elizabeth Cobb
Elizabeth Cobb was the daughter of American humorist and author Irvin S. Cobb.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8951648190a7ea05504c3cd9c1 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072e2e59388190ac5a6a9479555154 |
completed | May 15, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072eb872b88190904f9947228066fb |
completed | May 15, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:36 p.m.