Triple

T10008151
Position Surface form Disambiguated ID Type / Status
Subject Trouble Will Find Me E198303 entity
Predicate followedBy P78 FINISHED
Object Sleep Well Beast E198304 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: Sleep Well Beast | Statement: [Trouble Will Find Me, followedBy, Sleep Well Beast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sleep Well Beast
Context triple: [Trouble Will Find Me, followedBy, Sleep Well Beast]
  • A. Sleep Well Beast chosen
    Sleep Well Beast is a 2017 critically acclaimed indie rock album by The National, noted for its darker electronic textures and introspective songwriting.
  • B. Sleep Well Beast (2017)
    Sleep Well Beast (2017) is a critically acclaimed studio album by American indie rock band The National, noted for its darker electronic textures and introspective songwriting.
  • C. No Sleeep
    "No Sleeep" is a sultry, mid-tempo R&B single by Janet Jackson, released in 2015 as the lead track from her album "Unbreakable."
  • D. O Sono
    O Sono is a painting by Brazilian modernist artist Tarsila do Amaral, exemplifying her distinctive style that blends avant-garde techniques with themes from Brazilian culture.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.