Triple
T17453461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiderland |
E424971
|
entity |
| Predicate | coverArtDescription |
P127526
|
FINISHED |
| Object | black-and-white photograph of band members in water |
—
|
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 photograph of band members in water | Statement: [Spiderland, coverArtDescription, black-and-white photograph of band members in water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverArtDescription Context triple: [Spiderland, coverArtDescription, black-and-white photograph of band members in water]
-
A.
coverArtDepicts
Indicates that the subject cover art visually represents, portrays, or includes the object within its imagery.
-
B.
coverArtText
Indicates that the text element is part of, or associated with, the cover art of a work.
-
C.
coverArtForm
Indicates the artistic medium or format used for the cover artwork associated with an item.
-
D.
coverArtOriginalArtistReferenced
Indicates that the original artist of the cover art is explicitly referenced or acknowledged in relation to the work.
-
E.
coverArtFeaturesColor
Indicates that the cover art includes or prominently displays a specific color as part of its visual design.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.