Triple
T11842347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fight of the Century (vs. Joe Frazier, 1971) |
E281682
|
entity |
| Predicate | roundOfKnockdown |
P101809
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Fight of the Century (vs. Joe Frazier, 1971), roundOfKnockdown, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundOfKnockdown Context triple: [Fight of the Century (vs. Joe Frazier, 1971), roundOfKnockdown, 15]
-
A.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
B.
roundOf
Indicates that one event, match, or game occurs as a specific stage or phase within a larger competition or tournament.
-
C.
reachedRound
Indicates that an entity has advanced to or attained a particular round or stage within a process, event, or competition.
-
D.
round
Indicates that an entity has a circular or approximately circular shape or form.
-
E.
winsByKO
Indicates that one competitor defeats another by knocking them out, ending the contest immediately.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.