Triple
T33638748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Heart Part 2 |
E861769
|
entity |
| Predicate | featuresNarrativePerspective |
P1924
|
FINISHED |
| Object | first-person |
—
|
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 | Statement: [The Heart Part 2, featuresNarrativePerspective, first-person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresNarrativePerspective Context triple: [The Heart Part 2, featuresNarrativePerspective, first-person]
-
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.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
C.
featuresPerspective
Indicates that one entity presents, embodies, or incorporates the viewpoint, angle, or outlook provided by another entity.
-
D.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
E.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01e3a2d0e08190a7d5622920dc56e6 |
completed | May 11, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_6a01e3013e7881909f0cdca25a53c009 |
completed | May 11, 2026, 2:09 p.m. |
Created at: May 1, 2026, 1:42 a.m.