Triple
T24701319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Nathaniel Brown |
E611749
|
entity |
| Predicate | SuperBowlsOrChampionshipsWon |
P49595
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [James Nathaniel Brown, SuperBowlsOrChampionshipsWon, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SuperBowlsOrChampionshipsWon Context triple: [James Nathaniel Brown, SuperBowlsOrChampionshipsWon, 1]
-
A.
SuperBowlWins
chosen
Indicates the number of Super Bowl championships that a team or individual has won.
-
B.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
-
C.
NFLChampionshipsWon
Indicates the number of NFL championship titles that an entity (typically a team or franchise) has won.
-
D.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
E.
SuperBowlAppearances
Indicates the number of times an entity has participated in a 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:22 a.m.