Triple

T13499985
Position Surface form Disambiguated ID Type / Status
Subject Joan Micklin Silver E320859 entity
Predicate notableWork P4 FINISHED
Object Between the Lines E820624 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: [Joan Micklin Silver, notableWork, Between the Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Between the Lines
Context triple: [Joan Micklin Silver, notableWork, Between the Lines]
  • A. Between the Lines chosen
    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
    "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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75487cb3c8190ab7f3bc36755b74c completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.