Triple
T19516955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huw Ceredig |
E488301
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Huw Ceredig |
E488301
|
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 Ceredig | Statement: [Huw Ceredig, name, Huw Ceredig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huw Ceredig Context triple: [Huw Ceredig, name, Huw Ceredig]
-
A.
Huw Ceredig
chosen
Huw Ceredig was a Welsh actor best known for his long-running role in the Welsh-language soap opera "Pobol y Cwm."
-
B.
Huw Morgan
Huw Morgan is the reflective protagonist of Richard Llewellyn’s novel "How Green Was My Valley," recounting his childhood and the decline of his Welsh mining community.
-
C.
Huw Jones
Huw Jones is a Welsh rugby union player and centre who has represented Scotland at international level.
-
D.
Huw Williams
Huw Williams is a choral director and organist best known for serving as Master of the Music at the Chapel Royal, St James’s Palace, where he directed the choir of the Children of the Chapel Royal.
-
E.
Huw Owen
Huw Owen is a personal name, most commonly referring to individuals from Wales or of Welsh heritage.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359ca7648190804c4d655170fda3 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074727002c8190aa3783c66242a4e4 |
completed | May 15, 2026, 4:17 p.m. |
Created at: April 10, 2026, 1:40 p.m.