Triple

T13620862
Position Surface form Disambiguated ID Type / Status
Subject David Fanning E325446 entity
Predicate notableWork P4 FINISHED
Object Frontline E59299 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: Frontline | Statement: [David Fanning, notableWork, Frontline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frontline
Context triple: [David Fanning, notableWork, Frontline]
  • A. Frontline chosen
    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
    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 a 1976 American comedy-drama film about the Hollywood blacklist era, starring Woody Allen and written by blacklisted screenwriter Walter Bernstein.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa291f48190a0ee7a228ea303bc completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.