Triple

T2576324
Position Surface form Disambiguated ID Type / Status
Subject Lisa Gerrard E57784 entity
Predicate familyName P18 FINISHED
Object Gerrard E141402 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: Gerrard | Statement: [Lisa Gerrard, familyName, Gerrard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerrard
Context triple: [Lisa Gerrard, familyName, Gerrard]
  • A. Steven Gerrard chosen
    Steven Gerrard is a former English professional footballer, best known as Liverpool and England’s influential midfield captain and later a football manager.
  • B. Gareth Barry
    Gareth Barry is a former English professional footballer and Premier League appearance record-holder who played primarily as a midfielder for clubs including Aston Villa, Manchester City, and Everton, as well as the England national team.
  • C. Jose Emmanuel Lallana
    Jose Emmanuel Lallana is a Filipino web administrator known for helping manage and develop the Philippine country-code top-level domain, .ph.
  • D. Giggs
    Giggs is a British rapper and songwriter from London known for his deep voice and influential role in the UK rap and grime scenes.
  • E. Gareth Bale
    Gareth Bale is a Welsh former professional footballer renowned for his explosive pace, powerful left foot, and success with clubs like Tottenham Hotspur and Real Madrid as well as the Wales national team.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a606e481909bcea46de468bb99 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657413908190a03b9dd8dc40b2e4 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.