Triple
T6213904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Montana |
E138935
|
entity |
| Predicate | AllProFirstTeamSelectionCount |
P62817
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Joe Montana, AllProFirstTeamSelectionCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AllProFirstTeamSelectionCount Context triple: [Joe Montana, AllProFirstTeamSelectionCount, 3]
-
A.
FirstTeamAllProSelectionCount
chosen
Indicates the number of times an entity has been selected to a First-Team All-Pro.
-
B.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
C.
rosterSize
Indicates the total number of individuals included on a given roster.
-
D.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0629fd3c08190a121097c188417c4 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.