Triple
T37827149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deacon Jones Award |
E943093
|
entity |
| Predicate | namedForHallOfFameStatus |
P43167
|
FINISHED |
| Object | Pro Football Hall of Famer |
—
|
NE NERFINISHED |
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: Pro Football Hall of Famer | Statement: [Deacon Jones Award, namedForHallOfFameStatus, Pro Football Hall of Famer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForHallOfFameStatus Context triple: [Deacon Jones Award, namedForHallOfFameStatus, Pro Football Hall of Famer]
-
A.
hallOfFameStatus
Indicates whether an entity has been recognized with hall of fame status, typically signifying exceptional achievement or distinction within a particular field.
-
B.
namedAfterHallOfFame
chosen
Indicates that one entity is named in honor of, or after, a Hall of Fame or a Hall of Fame inductee.
-
C.
inHallOfFame
Indicates that an entity has been formally inducted into a recognized Hall of Fame.
-
D.
hasHallOfFameParent
Indicates that an entity has a parent who is a member of a Hall of Fame.
-
E.
electedToHallOfFameWith
Indicates that two individuals were inducted into a Hall of Fame as part of the same induction class or ceremony.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.