Triple
T5346675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky Marciano |
E124072
|
entity |
| Predicate | lastProfessionalFightDate |
P63160
|
FINISHED |
| Object | 1955-09-21 |
—
|
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: 1955-09-21 | Statement: [Rocky Marciano, lastProfessionalFightDate, 1955-09-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastProfessionalFightDate Context triple: [Rocky Marciano, lastProfessionalFightDate, 1955-09-21]
-
A.
numberOfProfessionalFights
Indicates the total count of professional-level fights associated with an entity (such as a person or competitor).
-
B.
totalFights
Indicates the total number of fights that have occurred involving the specified entities or within the specified context.
-
C.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
-
D.
isWorldChampionshipFight
Indicates that a given fight is officially recognized as a world championship bout for a title in its sport.
-
E.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ede7c481908347d557aa4d19ad |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2:01 p.m.