Triple
T23970013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ: Duvvada Jagannadham |
E604201
|
entity |
| Predicate | featuresActionSequences |
P84380
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [DJ: Duvvada Jagannadham, featuresActionSequences, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActionSequences Context triple: [DJ: Duvvada Jagannadham, featuresActionSequences, true]
-
A.
featuresSequence
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
-
B.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
-
C.
featuresAnimation
Indicates that something includes or prominently presents an animation as part of its content or functionality.
-
D.
FAAction
Indicates an action or operation performed by one entity that affects or involves another entity.
-
E.
includesActionSequence
chosen
Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.