Triple
T14684028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanda Saheb |
E344862
|
entity |
| Predicate | roleInCarnaticWars |
P115315
|
FINISHED |
| Object | French-backed claimant to the Nawabship of the Carnatic |
—
|
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: French-backed claimant to the Nawabship of the Carnatic | Statement: [Chanda Saheb, roleInCarnaticWars, French-backed claimant to the Nawabship of the Carnatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCarnaticWars Context triple: [Chanda Saheb, roleInCarnaticWars, French-backed claimant to the Nawabship of the Carnatic]
-
A.
roleInShivajisLife
Indicates the specific role, influence, or significance an entity had in the life of Shivaji.
-
B.
roleInRepertoire
Indicates that an entity serves a specific role or function within a larger repertoire, collection, or set of items.
-
C.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
D.
roleInKrishnaLife
Indicates the specific role or function an entity plays in the life, activities, or narrative associated with Krishna.
-
E.
roleInAkbarsLife
Indicates the specific role, position, or significance that one entity held in relation to Akbar’s life.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.