Triple

T3137765
Position Surface form Disambiguated ID Type / Status
Subject Laurent Schwartz E65574 entity
Predicate familyName P18 FINISHED
Object Schwartz E288281 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: Schwartz | Statement: [Laurent Schwartz, familyName, Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwartz
Context triple: [Laurent Schwartz, familyName, Schwartz]
  • A. Schwartz chosen
    Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
  • B. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • C. Loewenstein
    Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
  • D. Scher
    Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
  • E. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8a1a2081909081c36075d4ddbe completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.