Triple

T15164563
Position Surface form Disambiguated ID Type / Status
Subject Stephen Malkmus and the Jicks E362300 entity
Predicate hasKeyboardist P22076 FINISHED
Object Mike Clark E1140701 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: Mike Clark | Statement: [Stephen Malkmus and the Jicks, hasKeyboardist, Mike Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Clark
Context triple: [Stephen Malkmus and the Jicks, hasKeyboardist, Mike Clark]
  • A. Mike Clark chosen
    Mike Clark is an American musician best known as a longtime member and multi-instrumentalist in Stephen Malkmus and the Jicks.
  • B. Matt Clark
    Matt Clark was an American character actor known for his numerous supporting roles in Westerns and other films and television series from the 1960s onward.
  • C. Todd Clark
    Todd Clark is a Canadian songwriter and record producer known for his work with various pop and country artists.
  • D. Mike E. Clark
    Mike E. Clark is an American record producer best known for his long-running work with Insane Clown Posse and other artists on the Psychopathic Records label.
  • E. Dane Clark
    Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.