Triple

T3794221
Position Surface form Disambiguated ID Type / Status
Subject Coal Hill Academy E89728 entity
Predicate hasStudent P48 FINISHED
Object Charlie Smith E171034 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: Charlie Smith | Statement: [Coal Hill Academy, hasStudent, Charlie Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Smith
Context triple: [Coal Hill Academy, hasStudent, Charlie Smith]
  • A. Charlie Smith chosen
    Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
  • B. Phil Smith
    Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
  • C. Ben Smithard
    Ben Smithard is a British cinematographer known for his work on feature films and television dramas, including the biographical film "My Week with Marilyn."
  • D. Art Smith
    Art Smith is an American celebrity chef and restaurateur best known for his Southern-inspired cuisine and for serving as a personal chef to high-profile clients, including Oprah Winfrey.
  • E. Joe Smith
    Joe Smith is a former American professional basketball player and 1995 NBA first overall draft pick who starred as a forward at the University of Maryland.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1f7a20819082d2ff104167d98b completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.