Triple

T15381507
Position Surface form Disambiguated ID Type / Status
Subject Joseph Wertheim E367813 entity
Predicate givenName P17 FINISHED
Object Joseph E77392 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: Joseph | Statement: [Joseph Wertheim, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Joseph Wertheim, givenName, Joseph]
  • A. Joseph
    Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
  • B. Joseph chosen
    Joseph is a common masculine given name of Hebrew origin, traditionally interpreted to mean "He will add" or "God increases."
  • C. Joseph
    Joseph is the given first name of R. J. Mitchell, the British aeronautical engineer best known for designing the Supermarine Spitfire fighter aircraft.
  • D. Joseph
    Joseph is the first name of Gray Davis, the former governor of California.
  • E. Joseph
    Joseph is the middle name of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5996408190afab2221d38e0027 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.