Triple

T8429985
Position Surface form Disambiguated ID Type / Status
Subject Zachary Jackson Levon Furnish-John E199093 entity
Predicate residesWith P29563 FINISHED
Object David Furnish E199092 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: David Furnish | Statement: [Zachary Jackson Levon Furnish-John, residesWith, David Furnish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Furnish
Context triple: [Zachary Jackson Levon Furnish-John, residesWith, David Furnish]
  • A. David Furnish chosen
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • B. William Pugh
    William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
  • C. John Pugh
    John Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
  • D. Chris Addison
    Chris Addison is a British comedian, actor, writer, and director best known for his work on the political satire series "The Thick of It" and its film spin-off "In the Loop."
  • E. Daniel Sturgeon
    Daniel Sturgeon was a 19th-century American politician who served as a U.S. Senator from Pennsylvania.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a2efa08190b92c75812003ffdb completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88ae6fc08190bba328a2d6f2e36e completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:07 p.m.