Triple
T22404356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guernsey |
E553843
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Herm |
—
|
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: Herm | Statement: [Guernsey, includes, Herm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herm Context triple: [Guernsey, includes, Herm]
-
A.
Herm
chosen
Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
-
B.
Hermie
Hermie is the adolescent protagonist of the coming-of-age film "Summer of '42," whose experiences capture the bittersweet transition from youth to adulthood during World War II.
-
C.
Herb
Herb is a masculine given name, often a short form of Herbert, used by various notable figures including artists and entertainers.
-
D.
Hermrigen
Hermrigen is a small municipality in the canton of Bern, Switzerland, situated in the Seeland region near the city of Biel/Bienne.
-
E.
Herma
Herma is a groundbreaking solo piano composition by Iannis Xenakis that applies mathematical and set-theoretical principles to create highly complex, avant-garde sound structures.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b6762c8190991fc14c5ca8e609 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.