Triple
T32259702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian O'Blivion |
E824117
|
entity |
| Predicate | theorizesAbout |
P119
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Brian O'Blivion, theorizesAbout, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theorizesAbout Context triple: [Brian O'Blivion, theorizesAbout, television]
-
A.
theorized
chosen
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
B.
theorizedInField
Indicates that a theory, idea, or hypothesis was formulated or developed within a particular academic or scientific field.
-
C.
developsTheory
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
D.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
E.
notableTheorist
Indicates that the subject is recognized as a significant or influential theorist in relation to the object or specified field.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc57134c8190806fe7558f39b44e |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:41 a.m.