Triple
T5109672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mungojerrie and Rumpelteazer |
E115183
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Mr. Mistoffelees |
E115626
|
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: Mr. Mistoffelees | Statement: [Mungojerrie and Rumpelteazer, relatedWork, Mr. Mistoffelees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Mistoffelees Context triple: [Mungojerrie and Rumpelteazer, relatedWork, Mr. Mistoffelees]
-
A.
Mr. Mistoffelees
chosen
Mr. Mistoffelees is a magical black-and-white cat character from T. S. Eliot’s poetry, best known today through his prominent role in the musical "Cats."
-
B.
The Rum Tum Tugger
The Rum Tum Tugger is a flamboyant, attention-seeking cat character from T. S. Eliot’s poetry, later popularized in Andrew Lloyd Webber’s musical "Cats."
-
C.
Mr. Whiskers
Mr. Whiskers is the talking, psychopathic cat companion voiced by Ryan Reynolds in the dark comedy film "The Voices."
-
D.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
E.
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.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ac19e88190aa8cc8b930a58d2d |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7edd6548190acbdc74eb1d0028d |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:41 p.m.