Triple
T8500904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Hefner |
E201211
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hefner |
E201211
|
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: Hefner | Statement: [Hugh Hefner, familyName, Hefner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hefner Context triple: [Hugh Hefner, familyName, Hefner]
-
A.
Hugh Hefner
chosen
Hugh Hefner was an American magazine publisher and cultural figure best known as the founder of Playboy and its associated lifestyle brand.
-
B.
Mr Endowed
"Mr Endowed" is a popular Afrobeat song by Nigerian artist D'banj, known for its catchy rhythm and celebration of wealth and success.
-
C.
Maxim
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
-
D.
Larry Flynt
Larry Flynt was a controversial American publisher and free-speech advocate best known as the founder of Hustler magazine.
-
E.
Mr. Grey
Mr. Grey is a mysterious, coldly efficient criminal mastermind who leads the subway hijacking in the thriller "The Taking of Pelham One Two Three."
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e1da7388190855ccd2e4292fd26 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.