Triple

T10027911
Position Surface form Disambiguated ID Type / Status
Subject Gemma Arterton E204776 entity
Predicate notableWork P4 FINISHED
Object Tamara Drewe E644707 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: Tamara Drewe | Statement: [Gemma Arterton, notableWork, Tamara Drewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara Drewe
Context triple: [Gemma Arterton, notableWork, Tamara Drewe]
  • A. Tamara Drewe chosen
    Tamara Drewe is a British comic strip and its film adaptation that satirically reimagines Thomas Hardy’s "Far from the Madding Crowd" in a modern rural English setting.
  • B. Charlotte Hornby
    Charlotte Hornby was a British aristocrat best known as the mother of Edward Smith-Stanley, 14th Earl of Derby, who served three times as Prime Minister of the United Kingdom.
  • C. Gemma Arrowsmith
    Gemma Arrowsmith is a British comedy writer, performer, and impressionist known for her work on radio and television sketch shows.
  • D. Lucy Carmichael
    Lucy Carmichael is the zany, well-meaning, and accident-prone protagonist played by Lucille Ball in the classic American sitcom "The Lucy Show."
  • E. Sadie Smith
    Sadie Smith is the birth name of Zadie Smith, the acclaimed British novelist known for works such as "White Teeth" and "On Beauty."
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2822bca308190ad2fad82653c6e74 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.