Triple

T3458281
Position Surface form Disambiguated ID Type / Status
Subject Liberty Global E72959 entity
Predicate positionHeldBy P8 FINISHED
Object Mike Fries E359843 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: Mike Fries | Statement: [Liberty Global, positionHeldBy, Mike Fries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Fries
Context triple: [Liberty Global, positionHeldBy, Mike Fries]
  • A. Mike Fries chosen
    Mike Fries is an American business executive best known as the longtime chief executive officer of international cable and telecommunications company Liberty Global.
  • B. Ron Feemster
    Ron Feemster is a music producer known for his work on the album "Afrodisiac."
  • C. Michael Schultz
    Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
  • D. Michael Farris
    Michael Farris is an American lawyer and conservative activist best known for his leadership in the Christian homeschooling movement and his role in founding and guiding Patrick Henry College.
  • E. Mike Sullivan
    Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae36e748190bf20fd3c6de22e19 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680170e081909c0d3a39a741280d completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:16 p.m.