Triple
T26008131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Hearns vs Sugar Ray Leonard I (1981) |
E646815
|
entity |
| Predicate | unificationBout |
P83211
|
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: [Thomas Hearns vs Sugar Ray Leonard I (1981), unificationBout, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unificationBout Context triple: [Thomas Hearns vs Sugar Ray Leonard I (1981), unificationBout, true]
-
A.
aimedToUnify
Indicates an intention or effort by one entity to bring multiple entities, groups, or elements together into a single unified whole.
-
B.
unionSide
Indicates that an entity is aligned with, represents, or acts on behalf of a labor union in a labor-related relationship or context.
-
C.
wasUnifiedWith
Indicates that two or more previously separate entities were brought together to form a single unified whole.
-
D.
battleAlsoKnownAs
Indicates that a particular battle is known by an alternative name or names.
-
E.
typeOfDuel
chosen
Indicates the specific kind or category of duel that characterizes a given dueling event or relationship between opponents.
- 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_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:01 a.m.