Triple
T1336975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donovan McNabb |
E28774
|
entity |
| Predicate | selectedToProBowlInSeason |
P2647
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Donovan McNabb, selectedToProBowlInSeason, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectedToProBowlInSeason Context triple: [Donovan McNabb, selectedToProBowlInSeason, 2000]
-
A.
selectedToProBowl
chosen
Indicates that an athlete has been chosen to participate in the Pro Bowl all-star game.
-
B.
appearedInSuperBowl
Indicates that the entity participated as a player, coach, or key contributor in at least one Super Bowl game.
-
C.
proBowlSelectionCount
Indicates the number of times an entity has been selected to participate in the Pro Bowl.
-
D.
SuperBowlMVPawards
Indicates that a person has received the Most Valuable Player (MVP) award for a particular Super Bowl game.
-
E.
SuperBowlMVPFor
Indicates that one entity is the player who was awarded the Super Bowl Most Valuable Player (MVP) title for a specific Super Bowl game.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.