Triple
T25282709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valli-Murugan-Devasena triad |
E633860
|
entity |
| Predicate | hasFlankingFigure |
P39620
|
FINISHED |
| Object | Valli |
—
|
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: Valli | Statement: [Valli-Murugan-Devasena triad, hasFlankingFigure, Valli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlankingFigure Context triple: [Valli-Murugan-Devasena triad, hasFlankingFigure, Valli]
-
A.
hasFlankFeatures
Indicates that an entity possesses specific characteristics or attributes located on its sides or flanks.
-
B.
liesOnFlankOf
Indicates that one entity is positioned along the side or lateral edge of another entity.
-
C.
hasFlanker
chosen
Indicates that an entity is positioned or assigned as a flanking support or protection alongside another entity.
-
D.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
E.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
- 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_69f48e0560648190bb88db7255867d7f |
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.