Triple

T13600279
Position Surface form Disambiguated ID Type / Status
Subject Anaconda E324923 entity
Predicate writer P1360 FINISHED
Object Ernest Clark E272444 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: Ernest Clark | Statement: [Anaconda, writer, Ernest Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Clark
Context triple: [Anaconda, writer, Ernest Clark]
  • A. Ernest Clark chosen
    Ernest Clark was a British character actor known for his numerous film and television roles from the 1950s onward, often portraying authoritative or professional figures.
  • B. Sterling Clark
    Sterling Clark was an American art collector and philanthropist best known for founding the Clark Art Institute in Williamstown, Massachusetts.
  • C. Frank Clarke
    Frank Clarke was a film editor best known for his work on classic Hollywood productions such as the 1953 adventure drama "Mogambo."
  • D. George E. Merrick
    George E. Merrick was an American real estate developer and city planner best known for creating the planned community of Coral Gables, Florida.
  • E. Arthur Farnsworth
    Arthur Farnsworth was an American assistant director and film executive best known as the second husband of actress Bette Davis.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcc1ed88190bbf6c83001703b84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.