Triple
T21306101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordie Lachance |
E525202
|
entity |
| Predicate | narratesFromPerspective |
P1924
|
FINISHED |
| Object | adulthood |
—
|
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: adulthood | Statement: [Gordie Lachance, narratesFromPerspective, adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narratesFromPerspective Context triple: [Gordie Lachance, narratesFromPerspective, adulthood]
-
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.
portrayedFromPerspectiveOf
Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular entity.
-
C.
usesFirstPersonNarrator
Indicates that a narrative work is told from the perspective of an "I" character who is part of the story.
-
D.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
-
E.
notPointOfViewNarratorIn
Indicates that the referenced entity does not serve as the point-of-view narrator within the specified narrative context.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa52a508190bb5dc806b6483574 |
completed | April 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.