Triple
T8043834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr and Mrs Clark and Percy |
E187499
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | Percy (cat) |
E706846
|
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: Percy (cat) | Statement: [Mr and Mrs Clark and Percy, mainSubject, Percy (cat)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Percy (cat) Context triple: [Mr and Mrs Clark and Percy, mainSubject, Percy (cat)]
-
A.
Percy (cat)
chosen
Percy is the white cat featured in David Hockney’s famous double-portrait painting "Mr and Mrs Clark and Percy."
-
B.
white cat Percy
White cat Percy is the striking feline featured alongside Mr and Mrs Clark in David Hockney’s famous double-portrait painting.
-
C.
Penelope Pussycat
Penelope Pussycat is a recurring Looney Tunes character, a black-and-white cat best known as the reluctant love interest constantly pursued by the amorous skunk Pepé Le Pew.
-
D.
Mr. Whiskers
Mr. Whiskers is the talking, psychopathic cat companion voiced by Ryan Reynolds in the dark comedy film "The Voices."
-
E.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4b5e0c819092949af0f995b850 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63cdecc88190beac3976e7c47114 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:23 p.m.