Triple
T2596783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurman Thomas |
E58249
|
entity |
| Predicate | firstTeamAllProSelectionsCount |
P8421
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Thurman Thomas, firstTeamAllProSelectionsCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTeamAllProSelectionsCount Context triple: [Thurman Thomas, firstTeamAllProSelectionsCount, 2]
-
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.
allStarSelectionCount
Indicates the number of times an entity has been selected as an All-Star.
-
C.
namedFirstTeamAllPro
Indicates that an entity was selected to the First-team All-Pro roster in a given season or context.
-
D.
NFLTeamDraftedBy
Indicates that a particular NFL team selected a specific player in an official NFL draft.
-
E.
proBowlSelectionCount
Indicates the number of times an entity has been selected to participate in the Pro Bowl.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.