Triple

T12946212
Position Surface form Disambiguated ID Type / Status
Subject Zoe Barnes E309772 entity
Predicate worksFor P5820 FINISHED
Object Slugline E1002637 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: Slugline | Statement: [Zoe Barnes, worksFor, Slugline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slugline
Context triple: [Zoe Barnes, worksFor, Slugline]
  • A. Slugline chosen
    Slugline is a fictional online news outlet featured in the TV series "House of Cards," known for its fast-paced digital journalism and startup culture.
  • B. Slug
    Slug is an American underground hip hop MC best known as the frontman of Atmosphere and co-founder of the Rhymesayers Entertainment label.
  • C. Sightlines
    Sightlines is a major contemporary art project by Canadian painter Wanda Koop that explores themes of perception, landscape, and the impact of technology on how we see the world.
  • D. White Line
    "White Line" is a grungy, guitar-driven rock song by Neil Young and Crazy Horse from the 1990 album *Ragged Glory*.
  • E. White Line
    White Line is one of the urban cable car routes in La Paz’s Mi Teleférico network, known for providing high-altitude public transit across the city.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.