Triple
T20715512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedley Verity |
E509158
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Verity |
—
|
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: Verity | Statement: [Hedley Verity, familyName, Verity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verity Context triple: [Hedley Verity, familyName, Verity]
-
A.
Verity
chosen
Verity is a feminine given name of Latin origin meaning "truth," used primarily in English-speaking countries.
-
B.
Verity
Verity is a young witch who works as a shop assistant at Fred and George Weasley's joke shop, Weasleys' Wizard Wheezes, in the Harry Potter series.
-
C.
Vivienne Rook
Vivienne Rook is a fictional, populist British politician and media personality in the television drama "Years and Years," known for her provocative rhetoric and rapid rise to power.
-
D.
Everlyn
Everlyn is an Australian actress best known for her role as Perri in the film "Rabbit-Proof Fence."
-
E.
Miriam Vale
Miriam Vale is a small rural town in Queensland, Australia, known for its agricultural surroundings and role as a service centre within the Gladstone Region.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d12a9481909cce3711c1c2d9f8 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:15 p.m.