Triple
T34604496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O. J. Berman |
E888557
|
entity |
| Predicate | helpedShapePersonaOf |
P161027
|
FINISHED |
| Object | Holly Golightly |
—
|
NE NERFINISHED |
How this triple was built (2 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: Holly Golightly | Statement: [O. J. Berman, helpedShapePersonaOf, Holly Golightly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedShapePersonaOf Context triple: [O. J. Berman, helpedShapePersonaOf, Holly Golightly]
-
A.
helpedDefinePersonaOf
chosen
Indicates that one entity significantly contributed to shaping or establishing the persona, image, or character of another entity.
-
B.
basedOnPersona
Indicates that something is created, customized, or decided according to a specific persona’s characteristics, preferences, or profile.
-
C.
primaryPersona
Indicates that one entity is the main or most representative persona associated with another entity, distinguishing it from any secondary or supporting personas.
-
D.
stagePersonaOf
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
E.
featuresBoldPersona
Indicates that an entity prominently showcases or embodies a strong, daring, or assertive persona.
- F. None of above.
Provenance (3 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.