Triple
T37975221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1951 Irascibles photograph |
E947403
|
entity |
| Predicate | numberOfArtistsDepicted |
P6685
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [1951 Irascibles photograph, numberOfArtistsDepicted, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArtistsDepicted Context triple: [1951 Irascibles photograph, numberOfArtistsDepicted, 18]
-
A.
numberOfKnownPortraits
Indicates the count of portraits that are known to exist for a given entity.
-
B.
representedArtists
Indicates that one entity (typically an agent, gallery, or organization) serves as the professional representative for another entity (typically an artist) in managing or promoting their work.
-
C.
numberOfFiguresDepicted
chosen
Indicates the total count of distinct figures shown within a given depiction or representation.
-
D.
estimatedNumberOfPaintings
Indicates the approximate count of paintings associated with an entity, rather than an exact, verified number.
-
E.
numberOfPaintingsCreated
Indicates the total count of paintings that an entity has created.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.