Triple
T36613532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Harding |
E903536
|
entity |
| Predicate | hasPhilanthropicRecipient |
P16661
|
FINISHED |
| Object | University of Cambridge |
—
|
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: University of Cambridge | Statement: [David Harding, hasPhilanthropicRecipient, University of Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhilanthropicRecipient Context triple: [David Harding, hasPhilanthropicRecipient, University of Cambridge]
-
A.
philanthropicBeneficiary
chosen
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
-
B.
hasPhilanthropicRole
Indicates that an entity holds or performs a role related to charitable, philanthropic, or socially beneficial activities.
-
C.
notablePhilanthropicBeneficiary
Indicates that an entity is a significant recipient of philanthropic donations, support, or charitable contributions from another entity.
-
D.
hasPhilanthropicInstitution
Indicates that an entity is associated with or supports a philanthropic institution, such as a charity, foundation, or nonprofit organization.
-
E.
associatedWithPhilanthropyIn
Indicates a relationship where an entity is involved in or connected to philanthropic activities within a specific place or context.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:11 p.m.