Triple

T10007569
Position Surface form Disambiguated ID Type / Status
Subject Little Voice E198290 entity
Predicate hasTrack P3284 FINISHED
Object Between the Lines E836175 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: Between the Lines | Statement: [Little Voice, hasTrack, Between the Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Between the Lines
Context triple: [Little Voice, hasTrack, Between the Lines]
  • A. Between the Lines
    Between the Lines is a 1977 American independent comedy-drama film about the staff of an alternative Boston newspaper, noted for its ensemble cast and portrayal of countercultural journalism.
  • B. Between the Lines chosen
    "Between the Lines" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
  • C. Crossing Lines
    Crossing Lines is an international crime drama television series that follows a special unit investigating cross-border crimes across Europe.
  • D. Black Lines
    Black Lines is an abstract painting by Wassily Kandinsky that exemplifies his pioneering use of bold linear forms and vibrant color to explore non-representational expression.
  • E. Outside the Lines
    Outside the Lines is an ESPN television program known for its in-depth investigative reporting and analysis of sports-related news and issues.
  • 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.