Triple
T33171642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Rice |
E849048
|
entity |
| Predicate | nameOfOrganizationDerivedFrom |
P129412
|
FINISHED |
| Object | Rice Northwest Museum of Rocks and Minerals |
—
|
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: Rice Northwest Museum of Rocks and Minerals | Statement: [Helen Rice, nameOfOrganizationDerivedFrom, Rice Northwest Museum of Rocks and Minerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameOfOrganizationDerivedFrom Context triple: [Helen Rice, nameOfOrganizationDerivedFrom, Rice Northwest Museum of Rocks and Minerals]
-
A.
originalOrganizationName
Indicates the name by which an organization was originally known before any renaming or rebranding.
-
B.
organizationName
Indicates that an entity has a specific official name as an organization.
-
C.
namedForOrganization
chosen
Indicates that one entity bears a name that is derived from or given in honor of a particular organization.
-
D.
commonNameDerivedFrom
Indicates that the commonly used name of one entity originates from, or is derived based on, another entity.
-
E.
associatedOrganizationFullName
Indicates that an entity is linked to an organization by specifying the organization’s complete, official name.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.