Triple
T4114186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Oppenheimer |
E90250
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Kitty |
E48872
|
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 | Statement: [Katherine Oppenheimer, nickname, Kitty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Context triple: [Katherine Oppenheimer, nickname, Kitty]
-
A.
Kitty
chosen
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
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.
-
C.
Tabby
Tabby is a supporting character in the 2020 supernatural horror film "The Craft: Legacy," which follows a new coven of teenage witches.
-
D.
Henrietta Pussycat
Henrietta Pussycat is a shy, sweet, and polite puppet cat who lives in the Neighborhood of Make-Believe on the children's television series "Mister Rogers' Neighborhood."
-
E.
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.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f07c688190a6e3689667587247 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8e30448190a1ac0df969c83631 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.