Triple

T22053353
Position Surface form Disambiguated ID Type / Status
Subject Plain Rap E544940 entity
Predicate hasPart P35 FINISHED
Object Frontline NE NERFINISHED

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: Frontline | Statement: [Plain Rap, hasPart, Frontline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frontline
Context triple: [Plain Rap, hasPart, Frontline]
  • A. Frontline
    Frontline is a long-running American investigative documentary series known for its in-depth reporting and analysis of major social, political, and global issues, produced and broadcast by PBS.
  • B. Frontline chosen
    Frontline is an Indian current affairs and political magazine known for its in-depth, left-leaning analysis of national and international issues.
  • C. The Front Line
    The Front Line is an Irish crime drama film starring Pádraic Delaney as an African immigrant security guard drawn into a violent criminal underworld.
  • D. Front Line
    Front Line was a late-1970s Virgin Records imprint renowned for releasing influential roots reggae and dub music from Jamaican artists.
  • E. The Front
    The Front is an American rock band best known for its melodic, arena-style sound and association with vocalist Tommy Funderburk.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12855c7708190a8de44837140b654 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.