Triple
T21462950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Summer Night |
E529519
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ted Willis |
—
|
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: Ted Willis | Statement: [Hot Summer Night, writer, Ted Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Willis Context triple: [Hot Summer Night, writer, Ted Willis]
-
A.
Ted Willis
chosen
Ted Willis was a prominent British screenwriter and playwright known for his prolific work in film and television during the mid-20th century.
-
B.
Dave Willis
Dave Willis is an American writer, voice actor, and producer best known for co-creating the Adult Swim animated series Aqua Teen Hunger Force and other surreal comedy shows.
-
C.
Christopher Willis
Christopher Willis is a British composer best known for his work on film and television scores, including the soundtrack for "The Personal History of David Copperfield."
-
D.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
E.
Nat Willis
Nat Willis is known primarily as the husband of British-American actress Andrea King.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9efdb188190be79b72e1bd18860 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.