Triple

T12058808
Position Surface form Disambiguated ID Type / Status
Subject Lithops E287110 entity
Predicate describedBy P264 FINISHED
Object Nicholas Edward Brown E962034 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: Nicholas Edward Brown | Statement: [Lithops, describedBy, Nicholas Edward Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Edward Brown
Context triple: [Lithops, describedBy, Nicholas Edward Brown]
  • A. Nicholas Edward Brown chosen
    Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
  • B. Nicholas Brown Jr.
    Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
  • C. O. Nicholas Brown
    O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
  • D. Michael Henry Brown
    Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
  • E. Nicholas Proctor Brown
    Nicholas Proctor Brown was a mountaineer known for making the first ascent of the Dent du Géant in the Mont Blanc massif of the Alps.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f651641c8190bfd1d4d228a36209 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.