Triple

T9784462
Position Surface form Disambiguated ID Type / Status
Subject Hall family E237457 entity
Predicate hasMember P10 FINISHED
Object Sylvia Hall E46536 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: Sylvia Hall | Statement: [Hall family, hasMember, Sylvia Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Hall
Context triple: [Hall family, hasMember, Sylvia Hall]
  • A. Sylvia Hall chosen
    Sylvia Hall was a young girl taken captive during the 1862 Indian Creek massacre in Illinois, whose abduction and later ransom became a noted episode in American frontier history.
  • B. Harriet Hall
    Harriet Hall was an American physician and prominent skeptic known for critically examining alternative medicine and pseudoscientific health claims.
  • C. Nicholaston Burrows
    Nicholaston Burrows is a coastal sand dune and heathland nature reserve on the Gower Peninsula in South Wales, known for its rich biodiversity and scenic landscapes.
  • D. Diana Hall
    Diana Hall is best known as the wife of American actor Lew Ayres, famed for his role in "All Quiet on the Western Front."
  • E. Suk Hall
    Suk Hall is a concert and chamber music venue located within Prague's historic Rudolfinum arts complex.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41fc5508190a759cdda8416673a completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.