Triple

T15143628
Position Surface form Disambiguated ID Type / Status
Subject Finish Line / Drown E361749 entity
Predicate hasPart P35 FINISHED
Object Drown E836749 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: Drown | Statement: [Finish Line / Drown, hasPart, Drown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drown
Context triple: [Finish Line / Drown, hasPart, Drown]
  • A. Drown chosen
    Drown is a critically acclaimed short story collection by Junot Díaz that explores the lives of Dominican and Dominican American characters grappling with migration, identity, and fractured relationships.
  • B. Drowned Out
    Drowned Out is an orchestral composition by contemporary British composer Mark-Anthony Turnage, noted for its vivid, jazz-inflected modernist style.
  • C. Drowning Man
    "Drowning Man" is a song by the Irish rock band U2 from their 1983 album War, known for its atmospheric sound and spiritually themed lyrics.
  • D. Found Drowned
    Found Drowned is a somber 19th-century painting by George Frederic Watts depicting the tragic aftermath of a woman's suicide, reflecting Victorian social concerns and moral themes.
  • E. Drowning Crow
    Drowning Crow is a contemporary play by Regina Taylor that reimagines Anton Chekhov’s The Seagull within an African American community in the American South.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c5c4248190b57234e3ccf2831b completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfee0ae48190a36523d3eeae9740 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.