Triple
T734423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Puening |
E14898
|
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 Puening, nickname, Kitty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Context triple: [Katherine Puening, nickname, Kitty]
-
A.
Kitty
chosen
Kitty is a common diminutive or nickname for the given name Catherine.
-
B.
Blaze the Trail Cat
Blaze the Trail Cat is the energetic, feline-themed mascot who entertains fans at Portland Trail Blazers basketball games.
-
C.
Cashmere Cat
Cashmere Cat is a Norwegian DJ, record producer, and musician known for his atmospheric, R&B-influenced electronic music and collaborations with major pop and hip-hop artists.
-
D.
Jacob Cats
Jacob Cats was a prominent 17th-century Dutch poet, jurist, and statesman, best known for his didactic moral verses and influential role in the Dutch Republic.
-
E.
Wilbur the Wildcat
Wilbur the Wildcat is the costumed wildcat mascot who represents the University of Arizona at athletic events and campus activities.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d8c6148190a468f2d95f7ec91f |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5f0de4819083457c86e5e93ba0 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.