Triple
T31173055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Swan |
E794664
|
entity |
| Predicate | readerPerspective |
P8789
|
FINISHED |
| Object | reader knows more about his fate than he does |
—
|
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: reader knows more about his fate than he does | Statement: [David Swan, readerPerspective, reader knows more about his fate than he does]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readerPerspective Context triple: [David Swan, readerPerspective, reader knows more about his fate than he does]
-
A.
portrayedFromPerspectiveOf
Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular entity.
-
B.
exploresPerspectiveOf
Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
-
C.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
D.
readerReception
Indicates how readers interpret, respond to, or are affected by a particular text or work.
-
E.
primaryPerspective
Indicates that one entity serves as the main or dominant viewpoint, angle, or interpretive frame through which another entity is understood, presented, or analyzed.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.