Triple

T17251166
Position Surface form Disambiguated ID Type / Status
Subject Tom Georgeson E418755 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: [Tom Georgeson, notableWork, Between the Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Between the Lines
Context triple: [Tom Georgeson, 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. Reed Between the Lines
    Reed Between the Lines is an American family sitcom that follows a modern, blended African-American family navigating everyday life and relationships.
  • D. The Thin Line
    The Thin Line is a novel by Edward Atiyah that explores the psychological and moral consequences of an ordinary man's impulsive crime.
  • E. Read Between the Lines
    Read Between the Lines is a song featured on the album "One to One."
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e270fc48190a75f3893a5ec059b completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.