Triple
T3168751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Green Was My Valley |
E66275
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Huw Morgan |
E333700
|
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 Morgan | Statement: [How Green Was My Valley, protagonist, Huw Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huw Morgan Context triple: [How Green Was My Valley, protagonist, Huw Morgan]
-
A.
Huw Morgan
chosen
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.
-
B.
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.
-
C.
Huw Owen
Huw Owen is a personal name, most commonly referring to individuals from Wales or of Welsh heritage.
-
D.
Emyr Pugh
Emyr Pugh is an individual notable enough to be recognized as a prominent bearer of the surname Pugh.
-
E.
Geraint Owen
Geraint Owen is a Welsh geologist and academic known for his work in sedimentology and for serving in leadership roles at Swansea University.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada64726048190933dbdc44258703e |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b552b488190938ed9fe4d046b01 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:06 p.m.