Triple
T7182780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahnee Welch |
E167489
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Kitty in Cocoon |
E179806
|
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 in Cocoon | Statement: [Tahnee Welch, notableRole, Kitty in Cocoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty in Cocoon Context triple: [Tahnee Welch, notableRole, Kitty in Cocoon]
-
A.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Kitty
chosen
"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.
-
C.
Blaze the Trail Cat
Blaze the Trail Cat is the energetic, feline-themed mascot who entertains fans at Portland Trail Blazers basketball games.
-
D.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
-
E.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8bd52648190a22412300254e5d4 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94390d48190b7443c9c8cc41625 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.