Triple
T16537898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Robustelli |
E401739
|
entity |
| Predicate | SuperBowlEraEquivalent |
P123947
|
FINISHED |
| Object | NFL championship winner |
—
|
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: NFL championship winner | Statement: [Andy Robustelli, SuperBowlEraEquivalent, NFL championship winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SuperBowlEraEquivalent Context triple: [Andy Robustelli, SuperBowlEraEquivalent, NFL championship winner]
-
A.
SuperBowlNumber
Indicates the specific numbered edition of the Super Bowl associated with an event, team, or record.
-
B.
seasonMostAssociatedWithSuperBowl
Indicates the season of the year with which the Super Bowl is most closely associated.
-
C.
superBowlSeason
Indicates that a particular NFL season is the one in which a specified Super Bowl game took place.
-
D.
appearedInSuperBowl
Indicates that the entity participated as a player, coach, or key contributor in at least one Super Bowl game.
-
E.
SuperBowlAttendance
Indicates the number of people who attended a given Super Bowl 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34559ca948190a9eb810b9b3be079 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.