Triple
T29476359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triptych (Eyes of One on Another) |
E747658
|
entity |
| Predicate | textContributor |
P16029
|
FINISHED |
| Object | Patti Smith |
—
|
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: Patti Smith | Statement: [Triptych (Eyes of One on Another), textContributor, Patti Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textContributor Context triple: [Triptych (Eyes of One on Another), textContributor, Patti Smith]
-
A.
creativeContributor
Indicates a relationship where an entity plays an active role in originating, designing, or shaping the creative content or form of another entity.
-
B.
composerOfTextSetting
Indicates that one entity is the composer who created the musical setting for a text associated with another entity.
-
C.
contributors
chosen
Indicates that one or more entities have provided work, resources, or input toward the creation, development, or maintenance of another entity.
-
D.
theoreticalTextAuthor
Indicates that one entity is the author or creator of a theoretical or conceptual text associated with the other entity.
-
E.
coAuthorField
Indicates that two or more entities have jointly authored a work within the same academic or professional field.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd4bb388190b1a797e7b3a25098 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4 p.m.