Triple
T3043229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Cook |
E83179
|
entity |
| Predicate | ACMFellow |
P22349
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stephen Cook, ACMFellow, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ACMFellow Context triple: [Stephen Cook, ACMFellow, true]
-
A.
coLaureateWith
Indicates that two entities share the status of being laureates of the same award or honor, typically in the same year or category.
-
B.
hasAcademicAssociation
chosen
Indicates a relationship where one entity is connected to another through an academic context, such as study, research, teaching, or institutional affiliation.
-
C.
isNationalAcademyOf
Indicates that an organization is the official national academy representing a country in a particular field or set of disciplines.
-
D.
cafMember
Indicates that an entity is a member of a specific club, association, or formal group.
-
E.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.