Triple

T9720997
Position Surface form Disambiguated ID Type / Status
Subject Joe de Graft E235469 entity
Predicate givenName P17 FINISHED
Object Joe E178835 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: Joe | Statement: [Joe de Graft, givenName, Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe
Context triple: [Joe de Graft, givenName, Joe]
  • A. Joe
    Joe is a central character in the musical "Show Boat," known as the African American dock worker who delivers the iconic song "Ol' Man River."
  • B. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • C. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • D. Joe chosen
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • E. Joe
    Joe Swanberg is an American independent filmmaker, actor, and director known for his low-budget, improvisational style and contributions to the mumblecore movement.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e419c2c8190b325d5fd692c6000 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40575f48190807b6a3f10e63b41 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:20 p.m.