Triple
T24068469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bali |
E596158
|
entity |
| Predicate | encounteredAvatar |
P84701
|
FINISHED |
| Object | Vamana |
—
|
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: Vamana | Statement: [Bali, encounteredAvatar, Vamana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encounteredAvatar Context triple: [Bali, encounteredAvatar, Vamana]
-
A.
encountersCharacter
chosen
Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
-
B.
avatarOf
Indicates that one entity serves as the embodiment, representation, or manifested form of another entity.
-
C.
encountered
Indicates that one entity came across or met another entity, typically in a specific place or context, often unexpectedly or during the course of some activity.
-
D.
avatar
Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
-
E.
enemyCharacterIn
Indicates that a character is located within or present inside an enemy-controlled area, zone, or context.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db15866c8190ab931216b8d9c57f |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:40 p.m.