Triple
T22229246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santosh Patel |
E549423
|
entity |
| Predicate | demonstrationSubject |
P48401
|
FINISHED |
| Object | tiger’s lethality |
—
|
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: tiger’s lethality | Statement: [Santosh Patel, demonstrationSubject, tiger’s lethality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demonstrationSubject Context triple: [Santosh Patel, demonstrationSubject, tiger’s lethality]
-
A.
demonstratedBy
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
B.
demonstratedConcept
Indicates that an entity has shown, illustrated, or made evident a particular concept through example, explanation, or action.
-
C.
demonstratorType
Indicates the specific role or category of a demonstrator involved in an event, action, or demonstration.
-
D.
demonstratedOn
chosen
Indicates that an action, behavior, or property is shown, illustrated, or proven using a particular entity as the example or subject.
-
E.
designedToDemonstrate
Indicates that something was intentionally created or arranged for the purpose of showing, illustrating, or proving a particular concept, feature, or behavior.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.