Triple
T34978629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmer family art collection |
E1008751
|
entity |
| Predicate | collectorRoleOfBerthaPalmer |
P194275
|
FINISHED |
| Object | Chicago socialite |
—
|
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: Chicago socialite | Statement: [Palmer family art collection, collectorRoleOfBerthaPalmer, Chicago socialite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectorRoleOfBerthaPalmer Context triple: [Palmer family art collection, collectorRoleOfBerthaPalmer, Chicago socialite]
-
A.
collectedBy
Indicates that one entity has gathered, acquired, or assembled another entity, typically as part of a collection or data-gathering process.
-
B.
curatorOccupation
Indicates that one entity serves as the professional role or job of a curator for the other entity.
-
C.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
D.
notableFemaleMember
Indicates that an entity has a female member who is particularly prominent, distinguished, or noteworthy within that entity.
-
E.
curatorNationality
Indicates that a curator is associated with a particular country as their nationality.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
| PDg | Predicate description generation | batch_69fd68ab21a0819096bfc4a8c14851ad |
completed | May 8, 2026, 4:38 a.m. |
Created at: May 3, 2026, 4:01 p.m.