Triple
T11716817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert McKimson |
E278519
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Daffy Duck Hunt |
E270249
|
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: Daffy Duck Hunt | Statement: [Robert McKimson, notableWork, Daffy Duck Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daffy Duck Hunt Context triple: [Robert McKimson, notableWork, Daffy Duck Hunt]
-
A.
Duck Hunt
Duck Hunt is a classic 1984 light gun shooter game by Nintendo, best known for its use of the NES Zapper to shoot ducks on screen and its iconic laughing hunting dog.
-
B.
Porky’s Duck Hunt
chosen
Porky’s Duck Hunt is a 1937 Warner Bros. Looney Tunes cartoon short directed by Tex Avery that introduced the character Daffy Duck.
-
C.
Bullseye
"Bullseye" is a thriller novel in James Patterson and Michael Ledwidge's Michael Bennett series, following the NYPD detective as he races to stop an assassination plot against the U.S. president.
-
D.
Bullseye
Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
-
E.
Bullseye
Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83a9479c81909cbe63d81255a1bf |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.