Triple
T12946133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Broyles |
E309770
|
entity |
| Predicate | numberOfConferenceChampionships |
P98856
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Frank Broyles, numberOfConferenceChampionships, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConferenceChampionships Context triple: [Frank Broyles, numberOfConferenceChampionships, 7]
-
A.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
B.
wonConferenceChampionshipsIn
chosen
Indicates that an entity has secured one or more conference championship titles in a specified league, sport, or time period.
-
C.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
-
D.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
E.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.