Triple
T27059192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golkin family (benefactors) |
E684987
|
entity |
| Predicate | mainFieldOfActivity |
P3
|
FINISHED |
| Object | higher education philanthropy |
—
|
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: higher education philanthropy | Statement: [Golkin family (benefactors), mainFieldOfActivity, higher education philanthropy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFieldOfActivity Context triple: [Golkin family (benefactors), mainFieldOfActivity, higher education philanthropy]
-
A.
fieldOfWork
chosen
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
B.
possibleFieldOfActivity
Indicates that something is a potential or suitable area in which an entity can operate, work, or be active.
-
C.
majorActivity
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
D.
occupationalRootActivity
Indicates that an occupation is fundamentally based on or derived from a particular core activity or type of work.
-
E.
fieldOfSignificance
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622e297ac8190b37c546e863e016e |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:20 a.m.