Triple

T15080112
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Lewis E380117 entity
Predicate familyName P18 FINISHED
Object Lewis E104439 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: Lewis | Statement: [Geoffrey Lewis, familyName, Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis
Context triple: [Geoffrey Lewis, familyName, Lewis]
  • A. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • B. Lewis chosen
    Lewis is a common English surname borne by numerous notable individuals across politics, civil rights, arts, and sports.
  • C. Lewis
    Lewis is a masculine given name of English origin, commonly used in English-speaking countries.
  • D. Lewis
    Lewis is the largest island of the Outer Hebrides in Scotland, known for its rugged coastline, Gaelic culture, and ancient archaeological sites such as the Callanish standing stones.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff80008c88190840f94222f867478 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.