Triple

T10354978
Position Surface form Disambiguated ID Type / Status
Subject Save the Tiger E243977 entity
Predicate starring P1507 FINISHED
Object Norman Burton E449094 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: Norman Burton | Statement: [Save the Tiger, starring, Norman Burton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Burton
Context triple: [Save the Tiger, starring, Norman Burton]
  • A. Norman Burton chosen
    Norman Burton was an American character actor best known for his supporting roles in films and television, including a notable appearance in the James Bond franchise.
  • B. Norman Hilberry
    Norman Hilberry was an American physicist and administrator best known for his leadership roles in the Manhattan Project and later as director of Argonne National Laboratory.
  • C. Norman Leavitt
    Norman Leavitt was an American character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • D. Norman Frank
    Norman Frank is a member of the Frank family, known primarily as a relative of German author and Nazi critic Niklas Frank.
  • E. Norman Holbrook
    Norman Holbrook was a British Royal Navy officer and World War I submarine commander who received the Victoria Cross for his daring attack on an Ottoman battleship in the Dardanelles.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.