Triple
T462079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don King |
E7360
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don King |
E7360
|
NE 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: Don King | Statement: [Don King, name, Don King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don King Context triple: [Don King, name, Don King]
-
A.
Don King
chosen
Don King is an American boxing promoter famous for organizing some of the sport’s biggest championship fights and for his flamboyant, controversial public persona.
-
B.
Larry Holmes
Larry Holmes is an American former professional boxer best known as the long-reigning WBC and IBF heavyweight champion who successfully defended his title 20 times between 1978 and 1985.
-
C.
Willie Pep
Willie Pep was an American professional boxer widely regarded as one of the greatest featherweights in history, famed for his exceptional defensive skills and ringcraft.
-
D.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
-
E.
Frank Lane
Frank Lane was a prominent American Major League Baseball executive best known for his frequent and often controversial player trades during the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc09eac8190add4bb5823b53ba7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f59e9348190a53c1734b95bc2c3 |
completed | March 1, 2026, 2:38 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.