Triple

T9410317
Position Surface form Disambiguated ID Type / Status
Subject Pen Pumlumon Fawr E226687 entity
Predicate hasListing P1278 FINISHED
Object Hewitt E240842 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: Hewitt | Statement: [Pen Pumlumon Fawr, hasListing, Hewitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hewitt
Context triple: [Pen Pumlumon Fawr, hasListing, Hewitt]
  • A. Hewitt chosen
    A Hewitt is a classification for hills in England, Wales, and Ireland that are at least 2,000 feet high with a minimum prominence of 30 meters, commonly used by peak baggers and hillwalkers.
  • B. Hewitt
    Hewitt is a locality or settlement associated with a High Street, likely serving as a small town or neighborhood center.
  • C. Hewitt
    Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
  • D. Lleyton
    Lleyton is the given name of Australian former world No. 1 professional tennis player Lleyton Hewitt.
  • E. James Hewitt
    James Hewitt is a former British cavalry officer best known for his romantic relationship with Diana, Princess of Wales, during the late 1980s and early 1990s.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5255e4fc81908bf2f69c9a12ef83 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a5fcc081909a2d743e9673fe9e completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.