Triple

T15358867
Position Surface form Disambiguated ID Type / Status
Subject Ty Segall E367234 entity
Predicate hasNotableWork P4 FINISHED
Object Sleeper E1153196 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: Sleeper | Statement: [Ty Segall, hasNotableWork, Sleeper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sleeper
Context triple: [Ty Segall, hasNotableWork, Sleeper]
  • A. Sleeper chosen
    "Sleeper" is a 2013 acoustic-leaning studio album by American garage rock musician Ty Segall, noted for its introspective and emotionally raw songwriting.
  • B. Sleeper
    Sleeper is a 1973 science-fiction comedy film by Woody Allen that satirizes futuristic society through the misadventures of a man who wakes up 200 years after being cryogenically frozen.
  • C. Sleeper
    Sleeper is a critically acclaimed WildStorm comic book series that blends espionage, crime noir, and superhero elements, following an undercover agent embedded within a powerful criminal organization.
  • D. Sleeper
    Sleeper is a British Britpop band best known for their mid-1990s success with hook-driven guitar pop and prominent presence on the UK indie and alternative charts.
  • E. Light Sleeper
    Light Sleeper is a 1992 neo-noir drama film written and directed by Paul Schrader, following a drug courier in New York City undergoing a moral and existential crisis.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1343862481908962dfe0ab946b97 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.