Triple
T10511237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picasso sculpture |
E247918
|
entity |
| Predicate | hasNoOfficialInterpretation |
P41533
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Picasso sculpture, hasNoOfficialInterpretation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOfficialInterpretation Context triple: [Picasso sculpture, hasNoOfficialInterpretation, true]
-
A.
disputedInterpretation
chosen
Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
-
B.
hasNoOfficialLyrics
Indicates that there are no formally released or officially recognized lyrics associated with the referenced work or piece.
-
C.
notableInterpretation
Indicates that an entity is a significant or widely recognized interpretation, rendition, or version of another work, concept, or subject.
-
D.
hasUnofficialLyrics
Indicates that an entity is associated with lyrics that are not officially authorized or recognized by the original creator or rights holder.
-
E.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:27 p.m.