Triple
T4035644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gore Verbinski |
E83820
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | MouseHunt |
E295947
|
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: MouseHunt | Statement: [Gore Verbinski, directed, MouseHunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MouseHunt Context triple: [Gore Verbinski, directed, MouseHunt]
-
A.
MouseHunt (1997 film)
chosen
MouseHunt (1997 film) is a 1997 slapstick comedy film starring Nathan Lane and Lee Evans as hapless brothers battling a clever mouse in a dilapidated mansion they hope to restore and sell.
-
B.
Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
-
C.
Mouse King
The Mouse King is the villainous rodent monarch who leads an army of mice against the Nutcracker and Clara in the classic holiday ballet story.
-
D.
Mad Mouse
Mad Mouse is a compact steel wild mouse–style roller coaster located at the Michigan’s Adventure amusement park in Michigan.
-
E.
Cat and Mouse
"Cat and Mouse" is a novella by Nobel Prize–winning German author Günter Grass that forms part of his Danzig Trilogy and explores adolescence, guilt, and the legacy of World War II in Nazi-era Germany.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5629748d88190984cce08eef05e9c |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:36 p.m.