Triple

T10122281
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Browne E223322 entity
Predicate relative P37 FINISHED
Object Lancelot Browne E842595 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: Lancelot Browne | Statement: [Elizabeth Browne, relative, Lancelot Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancelot Browne
Context triple: [Elizabeth Browne, relative, Lancelot Browne]
  • A. Lancelot Browne chosen
    Lancelot Browne was an English physician of the late 16th and early 17th centuries, known for his medical practice and scholarly connections in Elizabethan England.
  • B. Adrian Scrope
    Adrian Scrope was a 17th-century English landowner and politician from a prominent gentry family, connected by kinship to notable naval officer Sir George Pocock.
  • C. Joseph Brocherel
    Joseph Brocherel was an Italian mountaineer known for participating in the pioneering ascent of Mount Kenya.
  • D. Anthony Bacon
    Anthony Bacon was an 18th-century British ironmaster and industrialist who became a leading figure in the early development of the iron industry in Wales.
  • E. Guy de Vere
    Guy de Vere is a fictional nobleman and grieving lover who serves as the central speaker in Edgar Allan Poe’s poem "Lenore."
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5b6101081909c97956591b01af9 completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.