Triple
T12557892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Hopkins |
E295264
|
entity |
| Predicate | consecutiveTitleDefenses |
P33242
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Bernard Hopkins, consecutiveTitleDefenses, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveTitleDefenses Context triple: [Bernard Hopkins, consecutiveTitleDefenses, 20]
-
A.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
B.
numberOfTitleDefenses
chosen
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
C.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
D.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
E.
consecutiveWinningSeasons
Indicates that an entity (such as a team or individual) has achieved winning seasons in back-to-back or uninterrupted consecutive years.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:48 p.m.