Triple
T8679502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howel |
E205998
|
entity |
| Predicate | sharesOriginWith |
P3438
|
FINISHED |
| Object | Hoel |
E752111
|
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: Hoel | Statement: [Howel, sharesOriginWith, Hoel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoel Context triple: [Howel, sharesOriginWith, Hoel]
-
A.
Hoel
chosen
Hoel is a given name and surname of Breton and Welsh origin, historically borne by several medieval rulers and later used in various European cultures.
-
B.
Hoelun
Hoelun was a Mongol noblewoman best known as the mother of Genghis Khan and a key matriarchal figure in the early Mongol Empire.
-
C.
Hille
Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
-
D.
Bickel
Bickel is the family name of the American actor Fredric March, a prominent star of classic Hollywood cinema.
-
E.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f8fa948190a070e90d17b4ede2 |
completed | March 31, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28748c0c8190a8870650a9b07d7d |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:32 p.m.