Triple
T18710549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Hickfang |
E457497
|
entity |
| Predicate | ownsPet |
P8711
|
FINISHED |
| Object | Mr. Whiskers |
—
|
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: Mr. Whiskers | Statement: [Jerry Hickfang, ownsPet, Mr. Whiskers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Whiskers Context triple: [Jerry Hickfang, ownsPet, Mr. Whiskers]
-
A.
Mr. Whiskers
chosen
Mr. Whiskers is the talking, psychopathic cat companion voiced by Ryan Reynolds in the dark comedy film "The Voices."
-
B.
Samuel Whiskers
Samuel Whiskers is a mischievous rat character from Beatrix Potter’s children’s stories, known for his schemes and troublemaking.
-
C.
Thomas O'Malley Cat
"Thomas O'Malley Cat" is a jazzy character song from Disney's animated film *The Aristocats*, introducing the charming alley cat Thomas O'Malley.
-
D.
Mr. Goodkat
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
-
E.
Simpkin the cat
Simpkin the cat is the mischievous feline companion in Beatrix Potter’s children’s story "The Tailor of Gloucester," known for his role in the tailor’s near-misfortune and eventual redemption.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671b34508190b6180f7d6ad50a58 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.