Triple
T14162990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Spade |
E350995
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | David Spade |
E210987
|
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: David Spade | Statement: [Kate Spade, relative, David Spade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Spade Context triple: [Kate Spade, relative, David Spade]
-
A.
David Spade
chosen
David Spade is an American comedian and actor known for his work on "Saturday Night Live" and in numerous comedy films and television shows.
-
B.
Chris Kattan
Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
-
C.
Chris Elliott
Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
-
D.
Matt LeBlanc
Matt LeBlanc is an American actor best known for playing the lovable, dim-witted Joey Tribbiani on the hit sitcom "Friends" and its spin-off "Joey."
-
E.
Chevy Chase
Chevy Chase is an American comedian and actor best known for his work on "Saturday Night Live" and the "National Lampoon's Vacation" film series.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f3170481909f3981c1e56235d9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.