Triple
T10866053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huw Owen |
E256531
|
entity |
| Predicate | hasComponentRole |
P161
|
FINISHED |
| Object | Huw is the given name |
E112273
|
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: Huw is the given name | Statement: [Huw Owen, hasComponentRole, Huw is the given name]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huw is the given name Context triple: [Huw Owen, hasComponentRole, Huw is the given name]
-
A.
Huw
chosen
Huw is a Welsh given name, traditionally used as a form of Hugh.
-
B.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
-
C.
Morgan (given name)
Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
-
D.
Huy
Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
-
E.
Huy
Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516cebe881909ed358a7641f6a12 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d7b32081909dd5f8ae3fe293be |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.