Triple
T30053486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. George Foreman |
E763662
|
entity |
| Predicate | nicknameOfGeorgeForeman |
P159779
|
FINISHED |
| Object | Big George |
—
|
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: Big George | Statement: [Ken Norton vs. George Foreman, nicknameOfGeorgeForeman, Big George]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfGeorgeForeman Context triple: [Ken Norton vs. George Foreman, nicknameOfGeorgeForeman, Big George]
-
A.
fatherNickname
Indicates that one entity is a nickname or informal name used for another entity who is a father.
-
B.
nicknameOfBoxer
chosen
Indicates that one entity is the nickname used to refer to a particular boxer.
-
C.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
D.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
E.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a18676081908488b1e38d156284 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:56 p.m.