Triple
T15483615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliette Lewis |
E376983
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Glenis Batley |
—
|
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: Glenis Batley | Statement: [Juliette Lewis, mother, Glenis Batley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenis Batley Context triple: [Juliette Lewis, mother, Glenis Batley]
-
A.
Glenis Batley
chosen
Glenis Batley is best known as the mother of American actress and singer Juliette Lewis.
-
B.
Deborah Watling
Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
-
C.
Joanne Catherall
Joanne Catherall is an English singer best known as one of the longtime vocalists of the pioneering synth-pop band The Human League.
-
D.
Lorna Patterson
Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
-
E.
Lesley Paterson
Lesley Paterson is a Scottish screenwriter, producer, and former triathlete best known for co-writing the Oscar-winning 2022 adaptation of "All Quiet on the Western Front."
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
Created at: April 10, 2026, 3:45 a.m.