Triple
T8176552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Freak |
E190948
|
entity |
| Predicate | mediaNicknameOrigin |
P81266
|
FINISHED |
| Object | combination of Greek nationality and freakish athleticism |
—
|
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: combination of Greek nationality and freakish athleticism | Statement: [Greek Freak, mediaNicknameOrigin, combination of Greek nationality and freakish athleticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaNicknameOrigin Context triple: [Greek Freak, mediaNicknameOrigin, combination of Greek nationality and freakish athleticism]
-
A.
mediaNicknameGivenBy
Indicates that a particular nickname was assigned to an entity by media organizations or outlets.
-
B.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
-
C.
instagramUsername
Indicates that one entity is the Instagram handle or username associated with another entity.
-
D.
twitterUsername
Indicates that one entity is the Twitter handle or username associated with another entity.
-
E.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4aba0dd88190828080d0d89612eb |
completed | March 31, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.