Triple

T14658995
Position Surface form Disambiguated ID Type / Status
Subject Steve Berlin E344184 entity
Predicate associatedAct P37 FINISHED
Object Leo Kottke E883533 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: Leo Kottke | Statement: [Steve Berlin, associatedAct, Leo Kottke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Kottke
Context triple: [Steve Berlin, associatedAct, Leo Kottke]
  • A. Leo Kottke chosen
    Leo Kottke is an American acoustic guitarist renowned for his virtuosic fingerpicking style and genre-blending instrumental compositions.
  • B. Daniel Kottke
    Daniel Kottke is an early Apple employee and close college friend of Steve Jobs who worked on the original Apple computers.
  • C. Chris Smither
    Chris Smither is an American folk and blues singer-songwriter and guitarist known for his intricate fingerpicking style and introspective, lyrically rich songs.
  • D. Michael Hedges
    Michael Hedges was an innovative American acoustic guitarist and composer known for his groundbreaking percussive fingerstyle technique and influential recordings in the new-age and contemporary instrumental genres.
  • E. Owen Strand
    Owen Strand is a fictional New York firefighter captain who relocates to Austin, Texas to rebuild a firehouse and lead its diverse crew in the TV series "9-1-1: Lone Star."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.