Triple
T17429941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabbay Award |
E423841
|
entity |
| Predicate | typicalRecipientType |
P379
|
FINISHED |
| Object | academic researcher |
—
|
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: academic researcher | Statement: [Gabbay Award, typicalRecipientType, academic researcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRecipientType Context triple: [Gabbay Award, typicalRecipientType, academic researcher]
-
A.
typicalRecipientPosition
Indicates the usual or expected spatial or organizational position where a recipient is located relative to the action or source.
-
B.
typicalRecipientAffiliation
Indicates that the usual or expected recipients of something (e.g., a message, service, or resource) are associated with a particular organization, group, or affiliation.
-
C.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
-
D.
hasTypeOfRecipient
chosen
Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
-
E.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448ffb9c8819099fabfeebdc06883 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.