Triple

T2698159
Position Surface form Disambiguated ID Type / Status
Subject Wonko the Sane E58562 entity
Predicate spouse P13 FINISHED
Object Fenchurch E58561 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: Fenchurch | Statement: [Wonko the Sane, spouse, Fenchurch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenchurch
Context triple: [Wonko the Sane, spouse, Fenchurch]
  • A. Fenchurch chosen
    Fenchurch is a central character in Douglas Adams' novel "So Long, and Thanks for All the Fish," known as Arthur Dent's love interest who shares a mysterious connection to the vanished Earth.
  • B. Farringdon
    Farringdon is a major central London railway and London Underground interchange station, serving as a key hub on routes including Thameslink and the Elizabeth line.
  • C. Elephant and Castle
    Elephant and Castle is a major road junction and rapidly redeveloping urban district in south London known for its transport hub, shopping centre (now largely demolished), and diverse local community.
  • D. Bishopsgate
    Bishopsgate is a historic street and district in the City of London known for its mix of financial institutions, modern skyscrapers, and preserved medieval and Victorian architecture.
  • E. Clerkenwell
    Clerkenwell is a historic district in central London known for its former industrial character, creative industries, and vibrant dining and nightlife scene.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda322af48190833b8a3c006db236 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbba22348190a3f70439a6b21e1c completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.