Triple

T16555178
Position Surface form Disambiguated ID Type / Status
Subject Star 69 E402178 entity
Predicate associatedAct P37 FINISHED
Object Roland Clark E1228236 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: Roland Clark | Statement: [Star 69, associatedAct, Roland Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Clark
Context triple: [Star 69, associatedAct, Roland Clark]
  • A. Roland Clark chosen
    Roland Clark is an American house music vocalist, producer, and songwriter known for his distinctive spoken-word style and influential contributions to classic and soulful house tracks.
  • B. Roland Young
    Roland Young was a British-born character actor best known for his urbane, often bemused comic roles in Hollywood films of the 1930s and 1940s, including the "Topper" series.
  • C. Roland Williams
    Roland Williams is a former NFL tight end best known for his role on the high-powered St. Louis Rams "Greatest Show on Turf" offense that won Super Bowl XXXIV.
  • D. Roland Glenn
    Roland Glenn is a skilled computer hacker and cybercriminal character in the television series "Prison Break."
  • E. Edward Clark
    Edward Clark was a member of the prominent Clark family associated with American industrial wealth and art patronage.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc887e881909607653df7fe71be completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae69d1481909f5514cc496f45b5 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:15 a.m.