Triple
T4440351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dealbreaker |
E95755
|
entity |
| Predicate | givesPerspectiveOf |
P8789
|
FINISHED |
| Object | Tony Schwartz on Donald Trump |
—
|
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: Tony Schwartz on Donald Trump | Statement: [Dealbreaker, givesPerspectiveOf, Tony Schwartz on Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesPerspectiveOf Context triple: [Dealbreaker, givesPerspectiveOf, Tony Schwartz on Donald Trump]
-
A.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
E.
hasViewpointType
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.