Triple
T33934778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Past Times |
E869998
|
entity |
| Predicate | recordSetFor |
P92054
|
FINISHED |
| Object | highest auction price for work by Kerry James Marshall at time of sale |
—
|
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: highest auction price for work by Kerry James Marshall at time of sale | Statement: [Past Times, recordSetFor, highest auction price for work by Kerry James Marshall at time of sale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSetFor Context triple: [Past Times, recordSetFor, highest auction price for work by Kerry James Marshall at time of sale]
-
A.
recordSetIn
Indicates that a record or recording is associated with, or took place in, a particular setting, location, or context.
-
B.
recordSetAt
Indicates that a record or data entry was created, stored, or established at a specific time or location.
-
C.
recordSetAgainst
Indicates that a performance, statistic, or benchmark was achieved in opposition to or during a specific event, opponent, or condition.
-
D.
recordsWith
Indicates that one entity keeps or maintains documented information about another entity or event.
-
E.
setRecordFor
chosen
Indicates establishing or updating a specific record associated with an entity or 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 1, 2026, 1:49 a.m.