Triple

T18056133
Position Surface form Disambiguated ID Type / Status
Subject Twin Town E432043 entity
Predicate stars P1956 FINISHED
Object Huw Ceredig 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: Huw Ceredig | Statement: [Twin Town, stars, Huw Ceredig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huw Ceredig
Context triple: [Twin Town, stars, 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 (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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c102d08081908d2419c898213400 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.