Triple
T23969529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arya |
E604191
|
entity |
| Predicate | posterBoyOf |
P20182
|
FINISHED |
| Object | Allu Arjun |
—
|
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: Allu Arjun | Statement: [Arya, posterBoyOf, Allu Arjun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posterBoyOf Context triple: [Arya, posterBoyOf, Allu Arjun]
-
A.
posterGirl
Indicates that one entity serves as the emblematic or ideal representative (the “poster girl”) for another entity, such as a cause, brand, or stereotype.
-
B.
exBoyfriendOf
Indicates that one person was formerly the romantic boyfriend of another person.
-
C.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
D.
portraitOn
Indicates that one entity is depicted as a portrait on the surface or medium of another entity.
-
E.
avatar
chosen
Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.