Triple
T19012218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arletta |
E465255
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Herleva |
—
|
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: Herleva | Statement: [Arletta, hasGivenName, Herleva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herleva Context triple: [Arletta, hasGivenName, Herleva]
-
A.
Herleva
chosen
Herleva was the mother of William the Conqueror and a woman of modest Norman origins who became historically significant through her son’s rise to the English throne.
-
B.
Haderup
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
-
C.
Vigerslev
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
-
D.
Jerslev
Jerslev is a small town in the Vendsyssel region of northern Denmark.
-
E.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a9bac8819093f9af57000667b0 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.