Triple
T5241898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Brunell |
E118361
|
entity |
| Predicate | ProBowlSeason |
P62339
|
FINISHED |
| Object | 1996 NFL season |
—
|
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: 1996 NFL season | Statement: [Mark Brunell, ProBowlSeason, 1996 NFL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ProBowlSeason Context triple: [Mark Brunell, ProBowlSeason, 1996 NFL season]
-
A.
SuperBowlSeason
Indicates that a particular season is identified as the one in which a given Super Bowl game is played or associated.
-
B.
superBowlSeason
Indicates that a particular NFL season is the one in which a specified Super Bowl game took place.
-
C.
nflProBowls
Indicates the number of times a player has been selected to participate in the NFL Pro Bowl all-star game.
-
D.
seasonNumberOfSuperBowl
Indicates the specific NFL season number associated with a given Super Bowl game.
-
E.
SuperBowl
Indicates that the entities are related through the NFL championship game known as the Super Bowl, such as being its participants, location, winner, or associated event.
- F. None of above. chosen
Provenance (4 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4c6fa8819099442b1b110e51fb |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.