Triple
T1326141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen |
E28330
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Katy |
E49538
|
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: Katy | Statement: [Kathleen, hasVariant, Katy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katy Context triple: [Kathleen, hasVariant, Katy]
-
A.
Cowtown
Cowtown is a popular nickname for Calgary, a major Canadian city known for its historic cattle industry and annual Calgary Stampede.
-
B.
Lamar
Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
-
C.
Grand Tyler
Grand Tyler is a Masonic lodge officer responsible for guarding the entrance to the lodge and ensuring only duly qualified members are admitted.
-
D.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
E.
Kay
chosen
Kay is a common diminutive or nickname for the given name Catherine.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3038148190bd945f67e1a619ca |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:55 p.m.