Triple

T21480559
Position Surface form Disambiguated ID Type / Status
Subject Margaret Brown E529975 entity
Predicate name P16 FINISHED
Object Margaret Brown — NE NERFINISHED

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: Margaret Brown | Statement: [Margaret Brown, name, Margaret Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Brown
Context triple: [Margaret Brown, name, Margaret Brown]
  • A. Margaret Brown
    Margaret Brown is a central fictional character in the British period drama series "Lark Rise to Candleford," which portrays rural and small-town life in late 19th-century England.
  • B. Margaret Brown Campbell
    Margaret Brown Campbell was the wife of Alexander Campbell, a prominent leader in the early Restoration Movement within American Christianity.
  • C. Margaret "Molly" Brown chosen
    Margaret "Molly" Brown was an American socialite, philanthropist, and Titanic survivor whose spirited personality and activism earned her the nickname "The Unsinkable Molly Brown."
  • D. Molly Brown
    Molly Brown was the nickname given to NASA's Gemini 3 spacecraft, the first crewed mission of the Gemini program flown by astronauts Gus Grissom and John Young in 1965.
  • E. Violet Constance Jessop
    Violet Constance Jessop was an Argentine ocean liner stewardess and nurse best known for surviving the sinkings of both the RMS Titanic and HMHS Britannic, as well as the collision of the RMS Olympic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1b0130819088b8e96ddbb29317 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.