Triple

T9740977
Position Surface form Disambiguated ID Type / Status
Subject The Butterfly Effect E236183 entity
Predicate writer P1360 FINISHED
Object J. Mackye Gruber E819880 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: J. Mackye Gruber | Statement: [The Butterfly Effect, writer, J. Mackye Gruber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Mackye Gruber
Context triple: [The Butterfly Effect, writer, J. Mackye Gruber]
  • A. J. Mackye Gruber chosen
    J. Mackye Gruber is an American screenwriter and film director best known for co-writing and co-directing the psychological thriller "The Butterfly Effect."
  • B. Philip Garris
    Philip Garris is an American artist best known for his iconic fantasy- and mythology-inspired album cover artwork, particularly for the Grateful Dead.
  • C. Murray Wier
    Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
  • D. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • E. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc408b988190980db82fbd93e988 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:23 p.m.