Triple
T28821068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Billings |
E727763
|
entity |
| Predicate | storyToldFromPerspective |
P1924
|
FINISHED |
| Object | first-person monologue |
—
|
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: first-person monologue | Statement: [Lester Billings, storyToldFromPerspective, first-person monologue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyToldFromPerspective Context triple: [Lester Billings, storyToldFromPerspective, first-person monologue]
-
A.
narrativePerspective
chosen
Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
-
B.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
C.
retellsStoryOf
Indicates that one entity recounts or narrates the story originally told or experienced by another entity.
-
D.
storyTime
Indicates that one entity is narrating or sharing a story with another entity, typically in a designated or scheduled period for storytelling.
-
E.
portrayedFromPerspectiveOf
Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular entity.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 6:34 a.m.