Triple
T30085344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Fama Prize |
E764586
|
entity |
| Predicate | namesakeIs |
P19396
|
FINISHED |
| Object | Nobel laureate in economics |
—
|
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: Nobel laureate in economics | Statement: [Eugene Fama Prize, namesakeIs, Nobel laureate in economics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesakeIs Context triple: [Eugene Fama Prize, namesakeIs, Nobel laureate in economics]
-
A.
namesakeDescription
Indicates that the object provides a descriptive explanation of why or how the subject is considered a namesake of something or someone.
-
B.
namesakeFullName
Indicates that one entity’s full name is used as the namesake or source of the name for another entity.
-
C.
namesakeType
Indicates the specific kind or category of namesake relationship that exists between two entities (for example, one being named after the other as a person, place, event, or object).
-
D.
namesakeStatus
chosen
Indicates that one entity serves as the namesake of another, or that two entities share a relationship based on having the same name.
-
E.
namesakeFamily
Indicates that one entity is a family or familial group that shares the same name as, or is named after, 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d6c7874819094e666ddb8c1059f |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:04 p.m.