Triple

T17365957
Position Surface form Disambiguated ID Type / Status
Subject All Nerve E422189 entity
Predicate hasPart P35 FINISHED
Object Dawn: Making an Effort — NE NERFINISHED

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: Dawn: Making an Effort | Statement: [All Nerve, hasPart, Dawn: Making an Effort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawn: Making an Effort
Context triple: [All Nerve, hasPart, Dawn: Making an Effort]
  • A. Dawn: Making an Effort chosen
    "Dawn: Making an Effort" is a song by American indie rock band The Breeders, featured on their 2018 album *All Nerve*.
  • B. Dawn
    "Dawn" is a lesser-known novel by American author Eleanor H. Porter, best known for writing "Pollyanna."
  • C. Dawn
    Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • D. Dawn
    Dawn is a leading American dishwashing liquid brand known for its strong grease-cutting power and use in wildlife rescue efforts.
  • E. Dawn
    Dawn is a central character in the crime thriller film "Catch .44," around whom much of the movie’s tense, intersecting plot revolves.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a50c9ec8190b518fdf80808af53 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.