Triple
T8518129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Vick |
E201626
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Pro Bowl |
E33822
|
NE 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: Pro Bowl | Statement: [Michael Vick, participatedIn, Pro Bowl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pro Bowl Context triple: [Michael Vick, participatedIn, Pro Bowl]
-
A.
Pro Bowl
chosen
The Pro Bowl is the National Football League’s annual all-star game featuring standout players from across the league.
-
B.
Super Bowl
The Super Bowl is the annual championship game of the National Football League and one of the most-watched sporting and entertainment events in the United States.
-
C.
Super Bowl Most Valuable Player Award
The Super Bowl Most Valuable Player Award is an annual honor given to the standout performer of the NFL's championship game, recognizing the player deemed most crucial to their team's success in that Super Bowl.
-
D.
World Bowl
The World Bowl was the championship game of NFL Europe, determining the league’s annual title winner.
-
E.
NFL Championship
The NFL Championship was the pre-Super Bowl title game that determined the league’s champion each season from 1933 through 1965.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe626787c819087e72dd76b2d9310 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e6c93d081909da2a748b0fa6fd3 |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.