Triple

T15033829
Position Surface form Disambiguated ID Type / Status
Subject Max Wall E378428 entity
Predicate familyName P18 FINISHED
Object Lorimer E741833 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: Lorimer | Statement: [Max Wall, familyName, Lorimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorimer
Context triple: [Max Wall, familyName, Lorimer]
  • A. Lorimer chosen
    Lorimer is a Scottish surname most notably associated with Sir Robert Stodart Lorimer, a prominent early 20th-century architect and furniture designer.
  • B. Lorimers
    Lorimers is a small rural settlement on Middle Caicos in the Turks and Caicos Islands, known for its traditional island community and relatively remote location.
  • C. Lorimer Rich
    Lorimer Rich was an American architect best known for co-designing the Tomb of the Unknown Soldier in Arlington National Cemetery.
  • D. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • E. JPS Norton
    JPS Norton was a racing team associated with legendary motorcycle racer Joey Dunlop, competing with Norton machines in road racing events.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.