Triple

T13862753
Position Surface form Disambiguated ID Type / Status
Subject Harry Crerar E333238 entity
Predicate familyName P18 FINISHED
Object Crerar E816268 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: Crerar | Statement: [Harry Crerar, familyName, Crerar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crerar
Context triple: [Harry Crerar, familyName, Crerar]
  • A. Crerar chosen
    Crerar is a Scottish surname most notably associated with Canadian General Harry Crerar, a senior Allied commander during World War II.
  • B. Idrieus
    Idrieus was a 4th-century BCE satrap of Caria and member of the Hecatomnid dynasty, known for his rule under Persian overlordship and for continuing the region’s monumental building projects.
  • C. Crenna
    Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
  • D. Spalauthra
    Spalauthra is an ancient settlement or locality situated within the historical region of Magnesia in Greece.
  • E. Silago
    Silago is a coastal municipality in the province of Southern Leyte in the Philippines known for its beaches and natural attractions.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.