Triple

T22042520
Position Surface form Disambiguated ID Type / Status
Subject Thomas Müller E544671 entity
Predicate spouse P13 FINISHED
Object Lisa Müller 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: Lisa Müller | Statement: [Thomas Müller, spouse, Lisa Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Müller
Context triple: [Thomas Müller, spouse, Lisa Müller]
  • A. Lisa Müller chosen
    Lisa Müller is the wife of German footballer Thomas Müller and is known for her work as a horse trainer and equestrian.
  • B. Melissa Müller
    Melissa Müller is an Austrian author and historian best known for her biographical and historical works on figures and events from the Nazi era, including her research that inspired the film "Downfall."
  • C. Christina Müller
    Christina Müller was the wife of late Renaissance Mannerist painter Bartholomeus Spranger, known primarily through her association with the artist.
  • D. Maria Mueller
    Maria Mueller is a fictional character from the 1968 British horror film "Dracula Has Risen from the Grave," part of the Hammer Dracula series.
  • E. Lisa Brühlmann
    Lisa Brühlmann is a Swiss film and television director and screenwriter known for her work on acclaimed series such as "The Girl Before" and "Killing Eve."
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282ac42c819099b2f664f79f5b83 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.