Triple

T15718925
Position Surface form Disambiguated ID Type / Status
Subject 2021 London mayoral election E381035 entity
Predicate incumbentBeforeElection P6364 FINISHED
Object Sadiq Khan E423232 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: Sadiq Khan | Statement: [2021 London mayoral election, incumbentBeforeElection, Sadiq Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadiq Khan
Context triple: [2021 London mayoral election, incumbentBeforeElection, Sadiq Khan]
  • A. Sadiq Khan chosen
    Sadiq Khan is a British Labour Party politician who has served as the Mayor of London since 2016.
  • B. Ken Livingstone
    Ken Livingstone is a British Labour politician and former Mayor of London known for his left-wing policies and prominent role in urban governance and environmental initiatives.
  • C. David Furnish
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • D. William Pugh
    William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
  • E. John Pugh
    John Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.