Triple
T18078879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Sue Batten |
E432631
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Batten |
—
|
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: Batten | Statement: [Karen Sue Batten, familyName, Batten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batten Context triple: [Karen Sue Batten, familyName, Batten]
-
A.
Batten
chosen
Batten is a surname most notably associated with pioneering New Zealand aviator Jean Batten, famed for her record-breaking solo flights in the 1930s.
-
B.
Beaudine
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
-
C.
Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
-
D.
Hurler
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
-
E.
Bates
Bates is a common English surname borne by numerous notable individuals across fields such as politics, civil rights, literature, and entertainment.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f6a85481909894c39c8be98d5d |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.