Triple
T7117380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Ray Robinson |
E165852
|
entity |
| Predicate | numberOfTimesWonWorldMiddleweightTitle |
P74650
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Sugar Ray Robinson, numberOfTimesWonWorldMiddleweightTitle, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesWonWorldMiddleweightTitle Context triple: [Sugar Ray Robinson, numberOfTimesWonWorldMiddleweightTitle, 5]
-
A.
firstWonWorldFeatherweightTitle
Indicates the event or relationship in which an entity became the world featherweight champion for the first time.
-
B.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
C.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
D.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
E.
dateWonWBAFeatherweightTitle
Indicates the specific date on which an entity won the WBA featherweight boxing title.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e618bdac8190be291468b7d977bb |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:43 p.m.