Triple

T15154542
Position Surface form Disambiguated ID Type / Status
Subject Joseph Trumpeldor E362036 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 Trumpeldor, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Joseph Trumpeldor, givenName, Joseph]
  • A. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • B. Joseph
    Joseph is the full given name of American sportscaster Joe Buck, known for his play-by-play announcing of major NFL and MLB games.
  • C. Joseph chosen
    Joseph is a common masculine given name of Hebrew origin, traditionally interpreted to mean "He will add" or "God increases."
  • D. Joseph
    Joseph is the given name of the renowned British Romantic landscape painter J. M. W. Turner.
  • E. Joseph
    Joseph is the given first name of American voice actor and comedian Joe Alaskey, known for voicing several iconic Looney Tunes characters.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff6344c819085a105c6bcf835bc completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.