Triple
T19240820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalkin |
E481126
|
entity |
| Predicate | positionInAvatarSequence |
P135315
|
FINISHED |
| Object | tenth avatar of Vishnu |
—
|
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: tenth avatar of Vishnu | Statement: [Kalkin, positionInAvatarSequence, tenth avatar of Vishnu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInAvatarSequence Context triple: [Kalkin, positionInAvatarSequence, tenth avatar of Vishnu]
-
A.
positionInMovement
Indicates the specific role or placement an entity holds within a broader movement or collective action.
-
B.
positionInAct
Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
-
C.
positionInFrame
Indicates the spatial location or coordinates of an entity within a specific frame or reference image.
-
D.
positionInShow
Indicates the specific order or placement an entity occupies within a show, series, or sequence of performances or episodes.
-
E.
positionAt
Indicates that one entity is located at, or occupies, a specific spatial position relative to another entity or reference frame.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf14564819085009adf822804ab |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:26 p.m.