Triple
T11885661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Khan Gardi |
E282772
|
entity |
| Predicate | roleAtPanipat |
P102064
|
FINISHED |
| Object | commander of trained infantry and artillery on the Maratha left wing |
—
|
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: commander of trained infantry and artillery on the Maratha left wing | Statement: [Ibrahim Khan Gardi, roleAtPanipat, commander of trained infantry and artillery on the Maratha left wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtPanipat Context triple: [Ibrahim Khan Gardi, roleAtPanipat, commander of trained infantry and artillery on the Maratha left wing]
-
A.
roleInShivajisLife
Indicates the specific role, influence, or significance an entity had in the life of Shivaji.
-
B.
roleAtWaterloo
Indicates the specific position, function, or capacity an entity held in relation to the Battle of Waterloo.
-
C.
roleInAkbarsLife
Indicates the specific role, position, or significance that one entity held in relation to Akbar’s life.
-
D.
sideInBattleOfBuxar
Indicates being a participating side or party in the Battle of Buxar.
-
E.
roleHistoricallyAssociatedWith
Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over time.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.