Triple

T13594938
Position Surface form Disambiguated ID Type / Status
Subject Rudy Gekko E324792 entity
Predicate relative P37 FINISHED
Object Kate Gekko E326172 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: Kate Gekko | Statement: [Rudy Gekko, relative, Kate Gekko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Gekko
Context triple: [Rudy Gekko, relative, Kate Gekko]
  • A. Kate Gekko chosen
    Kate Gekko is a character associated with the "Wall Street" film universe as the wife of the infamous corporate raider Gordon Gekko.
  • B. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • C. Kate Markowitz
    Kate Markowitz is an American singer and backing vocalist best known for her longtime collaborations with James Taylor and other prominent artists.
  • D. Sara Maxwell
    Sara Maxwell was an early 17th-century Irish noblewoman known primarily as the wife of Hugh Montgomery, 1st Viscount Montgomery of the Great Ards, a key figure in the Ulster Plantation.
  • E. Kate Flax
    Kate Flax is the teenage daughter of an eccentric single mother in the film "Mermaids," navigating adolescence, identity, and family turmoil in 1960s New England.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.