Triple
T25283435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surapadman |
E633874
|
entity |
| Predicate | vehicleOfAfterDefeat |
P7744
|
FINISHED |
| Object | Murugan's peacock |
—
|
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: Murugan's peacock | Statement: [Surapadman, vehicleOfAfterDefeat, Murugan's peacock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleOfAfterDefeat Context triple: [Surapadman, vehicleOfAfterDefeat, Murugan's peacock]
-
A.
usedChariots
Indicates that one entity employed or utilized chariots in relation to another entity, event, or context.
-
B.
starVehicleFor
chosen
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
-
C.
afterDefeat
Indicates that one event, state, or action occurs subsequent to and as a consequence of a defeat of some party or entity.
-
D.
weaponObtainedByDefeating
Indicates that a weapon is acquired as a direct result of defeating a particular opponent or entity.
-
E.
weaponDestroyed
Indicates that a weapon has been rendered unusable or eliminated, typically as a result of some action or event.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0718908190a2ebc862db79e2ea |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:19 p.m.