Triple
T6999512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Cho |
E162297
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Joan Rivers |
E263026
|
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: Joan Rivers | Statement: [Margaret Cho, influencedBy, Joan Rivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Rivers Context triple: [Margaret Cho, influencedBy, Joan Rivers]
-
A.
Joan Rivers
chosen
Joan Rivers was a pioneering American stand-up comedian and television personality known for her acerbic wit, trailblazing work for women in comedy, and sharp-tongued red carpet commentary.
-
B.
Ginny Newhart
Ginny Newhart was an American homemaker and the longtime wife of comedian and actor Bob Newhart, known for her behind-the-scenes influence on his career and for inspiring key ideas in his television work.
-
C.
Betty DeGeneres
Betty DeGeneres is an American LGBTQ+ rights advocate and author best known as the mother of comedian and television host Ellen DeGeneres.
-
D.
Mavis Leno
Mavis Leno is an American feminist and philanthropist known for her long-time activism, particularly in advocating for women's rights in Afghanistan.
-
E.
Kitty Moran
Kitty Moran is a fictional character appearing in the 1990 crime-comedy film "My Blue Heaven."
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2c510c8190b7c86f8b399388ae |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.