Triple
T26150213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badri |
E659792
|
entity |
| Predicate | hasActionSequences |
P84380
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Badri, hasActionSequences, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActionSequences Context triple: [Badri, hasActionSequences, yes]
-
A.
includesActionSequence
chosen
Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
-
B.
hasAnimationSequencesBy
Indicates that an entity’s animation sequences are created, provided, or authored by another entity.
-
C.
hasAnimatedSequences
Indicates that the subject contains or includes one or more animated sequences.
-
D.
usesSequence
Indicates that one entity employs or relies on a specific ordered sequence of elements, steps, or events in performing an action or defining a relationship.
-
E.
operationSequence
Indicates that one operation occurs in a specific order relative to another within a defined sequence of actions.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 8:24 p.m.