Triple

T14880113
Position Surface form Disambiguated ID Type / Status
Subject David O'Hara E349975 entity
Predicate appearedIn P795 FINISHED
Object Crossing Lines E698044 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: Crossing Lines | Statement: [David O'Hara, appearedIn, Crossing Lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crossing Lines
Context triple: [David O'Hara, appearedIn, Crossing Lines]
  • A. Crossing Lines chosen
    Crossing Lines is an international crime drama television series that follows a special unit investigating cross-border crimes across Europe.
  • B. Crossing the Line
    Crossing the Line is a memoir by British journalist Claud Cockburn, recounting his experiences in radical politics and international reporting during the turbulent decades of the early to mid-20th century.
  • C. Cross That Line
    Cross That Line is a late-1980s synth-pop album by British musician Howard Jones that blends electronic production with introspective, melodic songwriting.
  • D. Cross the Line
    "Cross the Line" is a track from the Japanese rock band Evolver, known for its energetic style and melodic hooks.
  • E. 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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:55 a.m.