Triple
T20840450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitty Garman |
E513082
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Kathy Garman |
—
|
NE NERFINISHED |
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: Kathy Garman | Statement: [Kitty Garman, notableRelative, Kathy Garman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Garman Context triple: [Kitty Garman, notableRelative, Kathy Garman]
-
A.
Kathleen Garman
chosen
Kathleen Garman was a British artists’ model and muse best known as the wife of sculptor Jacob Epstein and a central figure in the bohemian Garman–Epstein artistic circle.
-
B.
Gail Klintworth
Gail Klintworth is a business leader known for her senior roles in global consumer goods companies and her work advancing responsible, sustainable business practices.
-
C.
Kathy Hemmens
Kathy Hemmens is known as the wife of renowned blues guitarist Matt "Guitar" Murphy.
-
D.
Kathy Fields
Kathy Fields is an American actress and photographer, known for her work in film and television and for being married to actor David L. Lander.
-
E.
Kathy McMillan
Kathy McMillan is an American long jumper best known for winning the silver medal at the 1976 Montreal Olympic Games.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34b17b88190b3290bd5100ad2ad |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.