Triple

T1720553
Position Surface form Disambiguated ID Type / Status
Subject Carole Robertson E37379 entity
Predicate familyName P18 FINISHED
Object Robertson E122932 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: Robertson | Statement: [Carole Robertson, familyName, Robertson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robertson
Context triple: [Carole Robertson, familyName, Robertson]
  • A. Robertson chosen
    Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
  • B. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • C. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • D. Robnett
    Robnett is a given middle name that appears in the full name of individuals such as the American politician and jurist James Lick Robnett.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63558d7c8190830cb8ee2e4a8932 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aeca12881908efad5991bb0f12b completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.