Triple

T7442652
Position Surface form Disambiguated ID Type / Status
Subject Kazaam E171791 entity
Predicate editor P1954 FINISHED
Object Michael Ripps E523527 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 Ripps | Statement: [Kazaam, editor, Michael Ripps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ripps
Context triple: [Kazaam, editor, Michael Ripps]
  • A. Michael Ripps chosen
    Michael Ripps is a film editor known for his work on the movie "Stakeout."
  • B. Thomas Ripley
    Thomas Ripley was an 18th-century English architect and master carpenter known for his work on prominent country houses and public buildings, including contributions to Palladian architecture.
  • C. Robert Barrat
    Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
  • D. Frank S. Black
    Frank S. Black was a Republican politician who served as the 32nd governor of New York from 1897 to 1898.
  • E. Michael Cage
    Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8279c9cec8190bde450f845f7d0ea completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.