Triple
T29301122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puratchi Thalaivi |
E742957
|
entity |
| Predicate | appliedToRoleOfBearer |
P41633
|
FINISHED |
| Object | Chief Minister of Tamil Nadu |
—
|
LITERAL FINISHED |
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: Chief Minister of Tamil Nadu | Statement: [Puratchi Thalaivi, appliedToRoleOfBearer, Chief Minister of Tamil Nadu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToRoleOfBearer Context triple: [Puratchi Thalaivi, appliedToRoleOfBearer, Chief Minister of Tamil Nadu]
-
A.
associatedWithRoleOfNameBearer
Indicates that an entity is connected to or involved with the specific role or function held by a designated name bearer.
-
B.
appliedDuringRole
chosen
Indicates that an action, method, or process was carried out specifically while an entity was serving in a particular role or position.
-
C.
bearerInstanceOf
Indicates that a bearer (such as an agent, object, or entity) is an instance or specific realization of a more general class, type, or role.
-
D.
bearerAwardAssociation
Indicates a relationship in which an entity serves as the holder or recipient associated with a particular award.
-
E.
tokenAudience
Indicates the intended group or recipients for whom a particular token (such as a digital asset, credential, or access right) is designed or targeted.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 28, 2026, 1:09 p.m.