Triple
T30418176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Days of Hope and Dreams: An Intimate Portrait of Bruce Springsteen |
E773815
|
entity |
| Predicate | hasVisualContent |
P68797
|
FINISHED |
| Object | black-and-white photographs |
—
|
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: black-and-white photographs | Statement: [Days of Hope and Dreams: An Intimate Portrait of Bruce Springsteen, hasVisualContent, black-and-white photographs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualContent Context triple: [Days of Hope and Dreams: An Intimate Portrait of Bruce Springsteen, hasVisualContent, black-and-white photographs]
-
A.
hasVideoContent
Indicates that an entity includes or is associated with video-based media as part of its content.
-
B.
hasVisualCharacter
Indicates that one entity possesses or exhibits a particular visual appearance, style, or graphical characteristic defined by another entity.
-
C.
containsImage
chosen
Indicates that one entity includes or embeds an image as part of its content or structure.
-
D.
hasVideoPartsWith
Indicates that a video is composed of or associated with specific component segments or parts.
-
E.
hasUserGeneratedContent
Indicates that the subject contains or is associated with content created directly by users rather than by the system or administrators.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 8:05 p.m.