Triple
T6788808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny You Should Ask |
E155879
|
entity |
| Predicate | notableComediansAppearing |
P10205
|
FINISHED |
| Object | Tiffany Haddish |
E332986
|
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: Tiffany Haddish | Statement: [Funny You Should Ask, notableComediansAppearing, Tiffany Haddish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Haddish Context triple: [Funny You Should Ask, notableComediansAppearing, Tiffany Haddish]
-
A.
Tiffany Haddish
chosen
Tiffany Haddish is an American stand-up comedian and actress known for her breakout role in "Girls Trip" and her energetic, unfiltered comedic style.
-
B.
Regina Hall
Regina Hall is an American actress and comedian known for her roles in films such as the Scary Movie series, Girls Trip, and numerous television comedies.
-
C.
Leslie Jones
Leslie Jones is an American film editor known for her work on major Hollywood productions, including the feature film "Starsky & Hutch."
-
D.
Issa Rae
Issa Rae is an American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
-
E.
Melissa McCarthy
Melissa McCarthy is an American actress and comedian known for her breakout comedic role in "Bridesmaids" and subsequent work in film and television.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8998408190b741417ce6f21f55 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:14 p.m.