Triple
T31622834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Aldrich Museum |
E806939
|
entity |
| Predicate | currentInstitutionName |
P196829
|
FINISHED |
| Object | Aldrich Contemporary Art Museum |
—
|
NE NERFINISHED |
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: Aldrich Contemporary Art Museum | Statement: [Larry Aldrich Museum, currentInstitutionName, Aldrich Contemporary Art Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentInstitutionName Context triple: [Larry Aldrich Museum, currentInstitutionName, Aldrich Contemporary Art Museum]
-
A.
associatedWithCurrentInstitutionName
Indicates that an entity has an affiliation or connection with the institution identified by the current institution name.
-
B.
universityName
Indicates the official name associated with a particular university.
-
C.
undergraduateInstitutionOf
Indicates that one entity is the institution where the other entity completed or pursued their undergraduate studies.
-
D.
workInstitution
Indicates that an entity is employed by or works at a particular institution.
-
E.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
| PDg | Predicate description generation | batch_69fe6b7a823881909dc2037fe25bea24 |
completed | May 8, 2026, 11:02 p.m. |
Created at: April 30, 2026, 10:42 p.m.