Triple

T11359639
Position Surface form Disambiguated ID Type / Status
Subject Crosscut E269051 entity
Predicate name P16 FINISHED
Object Crosscut E269051 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: Crosscut | Statement: [Crosscut, name, Crosscut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crosscut
Context triple: [Crosscut, name, Crosscut]
  • A. Crosscut chosen
    Crosscut is a nonprofit, Seattle-based online news outlet known for its in-depth coverage of politics, public policy, and regional issues in the Pacific Northwest.
  • B. The Cut
    The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
  • C. The Cut
    The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
  • D. The Cut
    The Cut is a 2014 historical drama film directed by Fatih Akin that follows an Armenian man's search for his daughters in the aftermath of the Armenian genocide.
  • E. Rough Cutt
    Rough Cutt is an American heavy metal band from the 1980s Los Angeles scene, known for its melodic yet hard-edged sound and connections to other prominent glam and metal acts.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea42fe608190b9c71dd63f8780f3 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543bdd6d88190b4f816ffde5179be completed April 19, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:33 p.m.