Triple
T26533250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deewaar |
E670875
|
entity |
| Predicate | helpedDefinePersonaOf |
P161027
|
FINISHED |
| Object | Amitabh Bachchan |
—
|
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: Amitabh Bachchan | Statement: [Deewaar, helpedDefinePersonaOf, Amitabh Bachchan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedDefinePersonaOf Context triple: [Deewaar, helpedDefinePersonaOf, Amitabh Bachchan]
-
A.
basedOnPersona
Indicates that something is created, customized, or decided according to a specific persona’s characteristics, preferences, or profile.
-
B.
stagePersonaOf
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
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.
characterPersona
Indicates that one entity embodies, represents, or assumes the persona, role, or character identity specified by another entity.
-
E.
ultimatePersona
Indicates that one entity represents the final, most complete, or most authoritative persona or identity of another entity.
- F. None of above. chosen
Provenance (4 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613f98bc881909ccae70078fdab74 |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 1:37 a.m.