Triple
T13779276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puss in Boots: The Last Wish |
E331091
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Kitty Softpaws |
E860180
|
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: Kitty Softpaws | Statement: [Puss in Boots: The Last Wish, hasCharacter, Kitty Softpaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Softpaws Context triple: [Puss in Boots: The Last Wish, hasCharacter, Kitty Softpaws]
-
A.
Kitty Softpaws
chosen
Kitty Softpaws is a sly, agile, and sharp-witted feline thief who serves as Puss in Boots’ romantic interest and partner in adventure in the Shrek film franchise.
-
B.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
C.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
D.
Kitty
Kitty is a fictional character appearing in the 1944 romantic drama film "Love Story."
-
E.
Mittens
Mittens is one of the kitten protagonists in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.