Triple
T7561604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Kinsey in Kinsey |
E178805
|
entity |
| Predicate | losesFundingFrom |
P25443
|
FINISHED |
| Object | Rockefeller Foundation in Kinsey |
—
|
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: Rockefeller Foundation in Kinsey | Statement: [Alfred Kinsey in Kinsey, losesFundingFrom, Rockefeller Foundation in Kinsey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: losesFundingFrom Context triple: [Alfred Kinsey in Kinsey, losesFundingFrom, Rockefeller Foundation in Kinsey]
-
A.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
B.
notFundedBy
chosen
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
C.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
D.
withdrewFrom
Indicates that one entity removed itself or its participation from another entity, context, or arrangement it was previously part of.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.