Triple
T1524606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan David Prize |
E32306
|
entity |
| Predicate | formerField |
P30138
|
FINISHED |
| Object | arts |
—
|
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: arts | Statement: [Dan David Prize, formerField, arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerField Context triple: [Dan David Prize, formerField, arts]
-
A.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
D.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
E.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
- F. None of above. chosen
Provenance (4 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.