Triple

T19458446
Position Surface form Disambiguated ID Type / Status
Subject Jacob Matham E486797 entity
Predicate name P16 FINISHED
Object Jacob Matham NE NERFINISHED

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: Jacob Matham | Statement: [Jacob Matham, name, Jacob Matham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Matham
Context triple: [Jacob Matham, name, Jacob Matham]
  • A. Jacob Matham chosen
    Jacob Matham was a Dutch Golden Age engraver and draftsman known for his detailed reproductive prints and for continuing the artistic legacy of his stepfather and teacher, Hendrick Goltzius.
  • B. Martin Mathias
    Martin Mathias is a fictional protagonist named Martin who serves as the central character in his story.
  • C. Matthias Maurer
    Matthias Maurer is a German ESA astronaut and materials scientist who flew to the International Space Station as part of SpaceX Crew-3.
  • D. Christian Jacob
    Christian Jacob is a French politician who has served as a prominent leader on the right, including as president of the party Les Républicains and as a long-time member of the National Assembly.
  • E. Christian Jacob
    Christian Jacob is a French-born jazz pianist, composer, and arranger known for his work as a bandleader and collaborator with artists such as Tierney Sutton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c6c55c8190965ada884f17c800 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.