Triple
T29558203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dheena |
E749963
|
entity |
| Predicate | popularizedNicknameOf |
P25214
|
FINISHED |
| Object | Ajith Kumar |
—
|
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: Ajith Kumar | Statement: [Dheena, popularizedNicknameOf, Ajith Kumar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularizedNicknameOf Context triple: [Dheena, popularizedNicknameOf, Ajith Kumar]
-
A.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
popularName
Indicates that the object is a commonly used or widely recognized name or nickname for the subject.
-
C.
unofficialNickname
Indicates that one entity is informally or colloquially known by a non-official nickname represented by the other entity.
-
D.
notableNickname
chosen
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
-
E.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 5:18 p.m.