Triple
T28074259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lever Collection |
E709489
|
entity |
| Predicate | collectorOccupation |
P14167
|
FINISHED |
| Object | industrialist |
—
|
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: industrialist | Statement: [The Lever Collection, collectorOccupation, industrialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectorOccupation Context triple: [The Lever Collection, collectorOccupation, industrialist]
-
A.
orderedOccupationOf
Indicates that one entity holds a sequence-ordered list of occupations or roles associated with another entity.
-
B.
occupationOf
chosen
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
C.
approximateOccupation
Indicates that one entity is inferred or estimated to be the occupation or job role of another entity, rather than being known with certainty.
-
D.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
E.
occupies
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 8:48 p.m.