Triple
T17786652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Progress |
E444032
|
entity |
| Predicate | creatorProfession |
P13413
|
FINISHED |
| Object | artist Tino Sehgal |
—
|
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: artist Tino Sehgal | Statement: [This Progress, creatorProfession, artist Tino Sehgal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorProfession Context triple: [This Progress, creatorProfession, artist Tino Sehgal]
-
A.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
C.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
D.
creatorKnownFor
Indicates that a creator is especially recognized or notable for a particular work, contribution, or achievement.
-
E.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487938418819096016ad717b014e6 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.