Triple

T14917679
Position Surface form Disambiguated ID Type / Status
Subject Wolfram von Soden E371423 entity
Predicate givenName P17 FINISHED
Object Wolfram E76334 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: Wolfram | Statement: [Wolfram von Soden, givenName, Wolfram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfram
Context triple: [Wolfram von Soden, givenName, Wolfram]
  • A. Wolfram chosen
    Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
  • B. Maplesoft
    Maplesoft is a software company best known for creating the Maple computer algebra system used for advanced mathematics, engineering, and scientific computing.
  • C. Symbolics
    Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
  • D. Maxima
    Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
  • E. Rossum
    Rossum is the surname of Emmy Rossum, an American actress and singer best known for her role as Fiona Gallagher on the television series "Shameless."
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e86ce888190b03056db39438701 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:32 a.m.