Triple
T22881237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coward’s Tale |
E567474
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Kate Thompson |
—
|
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: Kate Thompson | Statement: [The Coward’s Tale, author, Kate Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Thompson Context triple: [The Coward’s Tale, author, Kate Thompson]
-
A.
Kate Thompson
chosen
Kate Thompson is an Irish author known for her contemporary novels that often explore complex relationships and emotional journeys.
-
B.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
C.
Kate Walter
Kate Walter is the daughter of acclaimed British actress and comedian Hermione Gingold.
-
D.
Kate Healey
Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
-
E.
Katherine Thomson
Katherine Thomson is an Australian screenwriter and playwright known for her work on film, television, and stage, including the documentary "Women He's Undressed."
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5c1ed88190aeac131c5aff6102 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.