Triple

T16188581
Position Surface form Disambiguated ID Type / Status
Subject Qimant E392873 entity
Predicate documentedBy P4310 FINISHED
Object Wolf Leslau E806188 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: Wolf Leslau | Statement: [Qimant, documentedBy, Wolf Leslau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf Leslau
Context triple: [Qimant, documentedBy, Wolf Leslau]
  • A. Wolf Leslau chosen
    Wolf Leslau was a prominent linguist and scholar of Semitic and Ethiopian languages, renowned for his extensive fieldwork and documentation of endangered tongues.
  • B. Richard Wolf
    Richard Wolf was a German-born Cuban diplomat, inventor, and philanthropist best known for founding the Wolf Foundation, which awards the prestigious Wolf Prizes in fields such as science and the arts.
  • C. Elliott Wolf
    Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
  • D. Wolf Kroeger
    Wolf Kroeger is a German-born production designer and art director known for his work on major films including the 1980 adaptation of "Popeye."
  • E. Wolf Fleischer
    Wolf Fleischer is a notable individual who shares the Fleischer surname, recognized enough to be specifically cited as a bearer of the name.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d3a8e48190bdf29a633f4b0490 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.