Triple
T11568397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathryn Walker |
E274315
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Chosen |
E279647
|
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: The Chosen | Statement: [Kathryn Walker, notableWork, The Chosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Chosen Context triple: [Kathryn Walker, notableWork, The Chosen]
-
A.
The Chosen
chosen
The Chosen is a 1981 American drama film adaptation of Chaim Potok’s novel about the friendship of two Jewish boys in 1940s Brooklyn, exploring themes of faith, tradition, and father-son relationships.
-
B.
Chosen
Chosen is a film featuring actor Jordan Renzo in a prominent role.
-
C.
The Choice
The Choice is a work created by Michael Barrett, recognized as one of his notable contributions to his field.
-
D.
The Choice
The Choice is a romantic drama film based on a Nicholas Sparks novel, starring Benjamin Walker as a charming veterinarian whose life changes when he falls in love with his new neighbor.
-
E.
The Choice
The Choice is a poem by Dante Gabriel Rossetti included in his sonnet sequence "The House of Life."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8c9a22c8190812c64b9f305ae99 |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.