Triple

T6566798
Position Surface form Disambiguated ID Type / Status
Subject Charles Frend E153926 entity
Predicate notableWork P4 FINISHED
Object San Demetrio London E546183 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: San Demetrio London | Statement: [Charles Frend, notableWork, San Demetrio London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Demetrio London
Context triple: [Charles Frend, notableWork, San Demetrio London]
  • A. San Demetrio London chosen
    San Demetrio London is a 1943 British war film dramatizing the true story of the crew of the tanker San Demetrio during the Battle of the Atlantic in World War II.
  • B. Palermo Soho
    Palermo Soho is a trendy neighborhood in Buenos Aires known for its vibrant nightlife, boutique shopping, street art, and lively café and restaurant scene.
  • C. Brixton
    Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
  • D. Westend
    Westend is a prominent and affluent district in Frankfurt am Main, Germany, known for its elegant residential areas and concentration of banks and corporate offices.
  • E. Λούγδουνον
    Λούγδουνον is the ancient Greek name for Lugdunum, the major Roman city that developed into modern-day Lyon in France.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5381e88190b44dc4440efdd8ae completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d564cb908190bb8885e6c8d8abac completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.