Triple

T2544028
Position Surface form Disambiguated ID Type / Status
Subject Brian Lane (name) E57852 entity
Predicate hasFamilyName P18 FINISHED
Object Lane E7099 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: Lane | Statement: [Brian Lane (name), hasFamilyName, Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lane
Context triple: [Brian Lane (name), hasFamilyName, Lane]
  • A. Lane chosen
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • B. Hosier Lane
    Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
  • C. Langway
    Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
  • D. Jane Lane
    Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
  • E. Ledo Road
    Ledo Road was a World War II military supply route built by the Allies through northern Burma to connect India with China and support Chinese forces against Japan.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d073d2c81908c769a99b0942089 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.