Triple
T2719772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Disney Miller |
E60053
|
entity |
| Predicate | roleAtOrganization |
P12630
|
FINISHED |
| Object | President of The Walt Disney Family Foundation |
—
|
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: President of The Walt Disney Family Foundation | Statement: [Diane Disney Miller, roleAtOrganization, President of The Walt Disney Family Foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtOrganization Context triple: [Diane Disney Miller, roleAtOrganization, President of The Walt Disney Family Foundation]
-
A.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
hasPositionInOrganization
chosen
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
C.
awardingOrganizationRole
Indicates that an entity holds a specific role or capacity within the organization that grants or confers an award.
-
D.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
-
E.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.