Triple
T38197510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing of Georgie (Part I and II) |
E1005655
|
entity |
| Predicate | partIIStyle |
P30246
|
FINISHED |
| Object | more reflective, instrumental-leaning coda |
—
|
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: more reflective, instrumental-leaning coda | Statement: [The Killing of Georgie (Part I and II), partIIStyle, more reflective, instrumental-leaning coda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partIIStyle Context triple: [The Killing of Georgie (Part I and II), partIIStyle, more reflective, instrumental-leaning coda]
-
A.
partOfStyle
Indicates that one style is a component, subset, or constituent element of another, more encompassing style.
-
B.
partOfTitleStyle
Indicates that one style is used as a component or sub-style within another overall title style.
-
C.
secondPartFormat
chosen
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
D.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
E.
secondPartSeries
Indicates that one entity is the second installment or part in a series that includes the other 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:29 p.m.