Triple
T15348893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin |
E366995
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Kathy Griffin |
E651677
|
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: Kathy Griffin | Statement: [Griffin, hasNotableBearer, Kathy Griffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Griffin Context triple: [Griffin, hasNotableBearer, Kathy Griffin]
-
A.
Kathy Griffin
chosen
Kathy Griffin is an American stand-up comedian and actress known for her sharp, often controversial humor and frequent television appearances.
-
B.
Jodi Lyn O'Keefe
Jodi Lyn O'Keefe is an American actress and model best known for her roles in films like "She's All That" and TV series such as "Nash Bridges" and "Prison Break."
-
C.
Margaret Cho
Margaret Cho is an American stand-up comedian, actress, and social activist known for her outspoken commentary on race, sexuality, and politics.
-
D.
Sandra Bernhard
Sandra Bernhard is an American comedian, actress, singer, and author known for her sharp, satirical stand-up and distinctive roles in film and television.
-
E.
Roseanne Barr
Roseanne Barr is an American comedian, actress, writer, and television producer best known for creating and starring in the groundbreaking sitcom "Roseanne."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.