Triple

T7500601
Position Surface form Disambiguated ID Type / Status
Subject Emanuel Lasker E177249 entity
Predicate familyName P18 FINISHED
Object Lasker E305494 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: Lasker | Statement: [Emanuel Lasker, familyName, Lasker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasker
Context triple: [Emanuel Lasker, familyName, Lasker]
  • A. Lasker chosen
    Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
  • B. Emanuel Lasker
    Emanuel Lasker was a German mathematician and the second World Chess Champion, renowned for holding the title for a record 27 years from 1894 to 1921.
  • C. Reuben Lasker
    Reuben Lasker was a prominent American fisheries biologist known for his influential research on fish larvae and marine ecosystems.
  • D. Anderssen
    Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
  • E. Wlamir Marques
    Wlamir Marques is a legendary Brazilian basketball player who starred for the national team during the 1950s and 1960s, helping Brazil win multiple FIBA World Championship titles and Olympic medals.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.