Triple

T5141259
Position Surface form Disambiguated ID Type / Status
Subject Sid Luft E115957 entity
Predicate fullName P16 FINISHED
Object Michael Sidney Luft E115955 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: Michael Sidney Luft | Statement: [Sid Luft, fullName, Michael Sidney Luft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Sidney Luft
Context triple: [Sid Luft, fullName, Michael Sidney Luft]
  • A. Michael Sidney Luft chosen
    Michael Sidney Luft was an American show business figure best known as a film producer and the third husband and manager of entertainer Judy Garland.
  • B. Walter Tibbets
    Walter Tibbets is an individual notable enough to be specifically cited as a bearer of the surname Tibbets.
  • C. Andrew Tibbets
    Andrew Tibbets is an individual notable enough to be specifically cited as a bearer of the surname Tibbets.
  • D. Land Morrow Lindbergh
    Land Morrow Lindbergh is one of the sons of famed American aviator Charles Lindbergh and his wife, Anne Morrow Lindbergh.
  • E. Wilfrid Kent Hughes
    Wilfrid Kent Hughes was an Australian politician and sports administrator who played a leading role in organizing the 1956 Melbourne Olympic Games.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787e5fe88190834042a73d4d9619 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91e4ab88190827a77b0a356b7c3 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:43 p.m.