Triple

T16091474
Position Surface form Disambiguated ID Type / Status
Subject Ella Sharp Museum E390367 entity
Predicate namedAfter P63 FINISHED
Object Ella Merriman Sharp E583254 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: Ella Merriman Sharp | Statement: [Ella Sharp Museum, namedAfter, Ella Merriman Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ella Merriman Sharp
Context triple: [Ella Sharp Museum, namedAfter, Ella Merriman Sharp]
  • A. Ella Merriman Sharp chosen
    Ella Merriman Sharp was a Jackson, Michigan philanthropist and landowner whose former estate became the public Ella Sharp Park.
  • B. Rachel Minnie Sharp
    Rachel Minnie Sharp is an actress and former furniture saleswoman best known for her 1990s marriage to "Beverly Hills, 90210" star Luke Perry.
  • C. Clara Jane Bryant
    Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
  • D. Almira Sessions
    Almira Sessions was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
  • E. Lydia Moore Parker
    Lydia Moore Parker was the wife of John Parker, a prominent early American frontiersman and Texas settler.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858d1264819099434d7201614d05 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9550f0819092660f6c4b0d708e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.