Triple
T5949988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie White |
E132371
|
entity |
| Predicate | numberOfFirstTeamAllPros |
P62817
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Reggie White, numberOfFirstTeamAllPros, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFirstTeamAllPros Context triple: [Reggie White, numberOfFirstTeamAllPros, 8]
-
A.
FirstTeamAllProSelectionCount
chosen
Indicates the number of times an entity has been selected to a First-Team All-Pro.
-
B.
namedFirstTeamAllPro
Indicates that an entity was selected to the First-team All-Pro roster in a given season or context.
-
C.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
D.
allProSecondTeamSelectionCount
Indicates the number of times an entity has been selected to the All-Pro Second Team.
-
E.
nflAllProSelection
Indicates that a player was selected to an NFL All-Pro team for a given season or time period.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.