Triple

T4479991
Position Surface form Disambiguated ID Type / Status
Subject Annette Strauss E100105 entity
Predicate name P16 FINISHED
Object Annette Strauss E100105 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: Annette Strauss | Statement: [Annette Strauss, name, Annette Strauss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annette Strauss
Context triple: [Annette Strauss, name, Annette Strauss]
  • A. Annette Strauss chosen
    Annette Strauss was an American civic leader and philanthropist who became one of Dallas’s most prominent mayors in the late 1980s.
  • B. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • C. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • D. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • E. Martha Schmellinsky
    Martha Schmellinsky was the wife of East German leader Walter Ulbricht and thus part of the political elite of the German Democratic Republic.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69be5c70e6cc8190b447d3bd1f578aae completed March 21, 2026, 8:53 a.m.
Created at: March 12, 2026, 11:35 p.m.