Triple
T26008139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Hearns vs Sugar Ray Leonard I (1981) |
E646815
|
entity |
| Predicate | nicknameOfFighter2 |
P159779
|
FINISHED |
| Object | The Hitman |
—
|
NE NERFINISHED |
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: The Hitman | Statement: [Thomas Hearns vs Sugar Ray Leonard I (1981), nicknameOfFighter2, The Hitman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfFighter2 Context triple: [Thomas Hearns vs Sugar Ray Leonard I (1981), nicknameOfFighter2, The Hitman]
-
A.
nicknameOfBoxer
chosen
Indicates that one entity is the nickname used to refer to a particular boxer.
-
B.
MuhammadAliPreFightName
Indicates that the given name is the name Muhammad Ali used before he adopted the name "Muhammad Ali" (i.e., his pre-fight or earlier personal name).
-
C.
featuredFighter
Indicates that a particular fighter is highlighted or prominently showcased in a given context or event.
-
D.
runnerUpNickname
Indicates that one entity is the nickname used for the runner-up position or second-place finisher in relation to another entity.
-
E.
winningBoxer
Indicates that one boxer has defeated another in a boxing match and is recognized as the winner.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b366f8819096534cffdd0aa509 |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 9:01 a.m.