Triple

T6813033
Position Surface form Disambiguated ID Type / Status
Subject Elsa Lanchester E156682 entity
Predicate familyName P18 FINISHED
Object Lanchester E156682 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: Lanchester | Statement: [Elsa Lanchester, familyName, Lanchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanchester
Context triple: [Elsa Lanchester, familyName, Lanchester]
  • A. Lanchester chosen
    Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
  • B. Almodington
    Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
  • C. Batalha
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • D. Lanc
    Lanc is the popular nickname for the Avro Lancaster, a British four‑engined heavy bomber famed for its crucial role in RAF operations during World War II.
  • E. Centurion
    Centurion is a rapidly growing urban area in South Africa situated between Pretoria and Johannesburg, known for its residential suburbs, business hubs, and large shopping centers.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723da8fe08190b507e569a2511f5a completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.