Triple
T22959033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortune Feimster |
E570841
|
entity |
| Predicate | hasStandUpSpecial |
P62152
|
FINISHED |
| Object | Sweet & Salty |
—
|
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: Sweet & Salty | Statement: [Fortune Feimster, hasStandUpSpecial, Sweet & Salty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet & Salty Context triple: [Fortune Feimster, hasStandUpSpecial, Sweet & Salty]
-
A.
Sweet & Salty
chosen
Sweet & Salty is a stand-up comedy special by Fortune Feimster that showcases her autobiographical storytelling and Southern charm.
-
B.
Sweeting
Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
-
C.
Sweetness
Sweetness is a central character in Toni Morrison’s novel "God Help the Child," known as the light-skinned mother whose harsh treatment of her dark-skinned daughter explores themes of colorism, shame, and maternal love.
-
D.
Sweetness
Sweetness was the iconic nickname of Walter Payton, the legendary Chicago Bears running back widely regarded as one of the greatest players in NFL history.
-
E.
Sweetness
Sweetness is a novel by Swedish author Torgny Lindgren, known for its darkly comic, allegorical exploration of human frailty and moral decay in a rural setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f2ce9c8190977f146771816341 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.