Triple
T21611342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Case You Didn’t Know |
E533315
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ash Howes |
—
|
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: Ash Howes | Statement: [In Case You Didn’t Know, producer, Ash Howes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ash Howes Context triple: [In Case You Didn’t Know, producer, Ash Howes]
-
A.
Ash Howes
chosen
Ash Howes is a British record producer and mix engineer known for his work with major pop artists and chart-topping albums.
-
B.
Cameron Howe
Cameron Howe is a brilliant, rebellious computer programmer and visionary in the tech industry, best known as a central character in the television series "Halt and Catch Fire."
-
C.
Andrew Ladd
Andrew Ladd is a Canadian former professional ice hockey left winger best known for winning two Stanley Cups and serving as captain of the Winnipeg Jets in the NHL.
-
D.
Aidan Shaw
Aidan Shaw is a fictional furniture designer and one of Carrie Bradshaw’s primary love interests in the Sex and the City franchise.
-
E.
Brock Pearson
Brock Pearson is a character from Pixar's "Monsters University," known for co-hosting the university's Scare Games alongside Claire Wheeler.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.