Triple

T11447259
Position Surface form Disambiguated ID Type / Status
Subject Pieces of a Woman E271296 entity
Predicate playwrightOfSourceWork P36129 FINISHED
Object Kata Wéber E926439 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: Kata Wéber | Statement: [Pieces of a Woman, playwrightOfSourceWork, Kata Wéber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kata Wéber
Context triple: [Pieces of a Woman, playwrightOfSourceWork, Kata Wéber]
  • A. Kata Wéber chosen
    Kata Wéber is a Hungarian screenwriter and playwright known for her emotionally intense collaborations with director Kornél Mundruczó, including the acclaimed drama "Pieces of a Woman."
  • B. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • C. Tokashiki
    Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Weber
    Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8f8049881909c1a52101e4620b3 completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.