Triple
T1191849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Sharpe |
E25378
|
entity |
| Predicate | nflAllProFirstTeamSelectionCount |
P8421
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Shannon Sharpe, nflAllProFirstTeamSelectionCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflAllProFirstTeamSelectionCount Context triple: [Shannon Sharpe, nflAllProFirstTeamSelectionCount, 4]
-
A.
allProSelectionCount
chosen
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
B.
ProFootballHallOfFameInductionYear
Indicates the year in which a person was officially inducted into the Pro Football Hall of Fame.
-
C.
ProFootballHallOfFame
Indicates that a person has been inducted into the Pro Football Hall of Fame.
-
D.
nflTeamTenure
Indicates the period of time that an individual was a member of a specific NFL team.
-
E.
collegeFootballHallOfFameInductionYear
Indicates the year in which a person was formally inducted into the College Football Hall of Fame.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd74e2c08190b4a48425f94addaa |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.