Triple
T20287190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocco Francis Marchegiano |
E509915
|
entity |
| Predicate | isUndefeatedAsProfessional |
P76558
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rocco Francis Marchegiano, isUndefeatedAsProfessional, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUndefeatedAsProfessional Context triple: [Rocco Francis Marchegiano, isUndefeatedAsProfessional, true]
-
A.
isUndefeated
Indicates that an entity has not been defeated in any relevant contest, match, or competition.
-
B.
undefeatedInProfessionalBoxing
chosen
Indicates that a boxer has never lost any match in their professional boxing career.
-
C.
isUnbeatenAtAge
Indicates that an entity has not been defeated in a specified domain or activity at a particular age or within a given age range.
-
D.
hasWonProfessionalTournament
Indicates that an entity has achieved victory in at least one professional-level tournament or competition.
-
E.
professionalRecordNoContests
Indicates that an entity’s professional record shows no contests (e.g., bouts or matches that ended without an official result) among its outcomes.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:07 a.m.