Triple

T10394883
Position Surface form Disambiguated ID Type / Status
Subject Joe Slovo E244985 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 Slovo, givenName, Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe
Context triple: [Joe Slovo, givenName, Joe]
  • A. Joe chosen
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • B. Joe
    "Joe" is a 1970 American drama film, directed by John G. Avildsen, that explores class conflict and reactionary violence through the unlikely alliance between a wealthy executive and a bigoted factory worker.
  • C. Joe
    Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
  • D. Joe
    Joe is the given name of American politician Joe Barton, a long-serving former U.S. Representative from Texas.
  • E. Joe
    Joe is the given name of Joe B. Hall, the American basketball coach best known for leading the University of Kentucky to the 1978 NCAA championship.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9ce6bb08190bfeaba98a126526d completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:06 p.m.