Triple
T17171883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame members |
E416753
|
entity |
| Predicate | roleInInstitutions |
P126366
|
FINISHED |
| Object | enhance prestige of the Hall of Fame |
—
|
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: enhance prestige of the Hall of Fame | Statement: [Hall of Fame members, roleInInstitutions, enhance prestige of the Hall of Fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInInstitutions Context triple: [Hall of Fame members, roleInInstitutions, enhance prestige of the Hall of Fame]
-
A.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
B.
institutionRole
Indicates a relationship where an entity holds or is assigned a specific role or position within an institution.
-
C.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
D.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
E.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
- F. None of above. chosen
Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:37 a.m.