Triple
T10280855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mudd |
E241095
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | The Beaver |
E25135
|
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: The Beaver | Statement: [Mr. Mudd, produced, The Beaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Beaver Context triple: [Mr. Mudd, produced, The Beaver]
-
A.
The Beaver
chosen
The Beaver is a 2011 drama film starring Mel Gibson as a depressed man who begins communicating through a beaver hand puppet, directed by Jodie Foster.
-
B.
Beaver
Beaver is a small unincorporated community and census-designated place in Raleigh County, West Virginia, known for its residential character and proximity to the city of Beckley.
-
C.
Beaver
The Beaver is the official mascot of the California Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
D.
Beaver
Beaver is a small town in the Oklahoma Panhandle known for serving as the county seat of Beaver County and for its rural, agricultural character.
-
E.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:38 a.m.