Triple
T32632089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Rock & Roll Fable |
E834243
|
entity |
| Predicate | partOfTitleTreatment |
P200946
|
FINISHED |
| Object | Streets of Fire |
—
|
NE NERFINISHED |
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: Streets of Fire | Statement: [A Rock & Roll Fable, partOfTitleTreatment, Streets of Fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTitleTreatment Context triple: [A Rock & Roll Fable, partOfTitleTreatment, Streets of Fire]
-
A.
partOfTitleStyle
Indicates that one style is used as a component or sub-style within another overall title style.
-
B.
partOfTitleOf
Indicates that one element forms a component or segment of another element’s title.
-
C.
styleOfTitle
Indicates the stylistic form or presentation type applied to a title (e.g., how the title is formatted or expressed).
-
D.
titleOfPart
Indicates that one entity is the title specifically assigned to a part or section of another, larger work or resource.
-
E.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
- F. None of above. chosen
Provenance (4 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
| PDg | Predicate description generation | batch_69ffbb1b3b888190ba329ad321fc3f3d |
completed | May 9, 2026, 10:54 p.m. |
Created at: May 1, 2026, 1:07 a.m.