Triple

T22769219
Position Surface form Disambiguated ID Type / Status
Subject Matthew Libatique E563207 entity
Predicate notableWork P4 FINISHED
Object The Fountain 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: The Fountain | Statement: [Matthew Libatique, notableWork, The Fountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fountain
Context triple: [Matthew Libatique, notableWork, The Fountain]
  • A. The Fountain chosen
    The Fountain is a 2006 science fiction romantic drama film directed by Darren Aronofsky that intertwines three narratives across time to explore themes of love, mortality, and the quest for eternal life.
  • B. The Fountain
    The Fountain is a monumental bronze sculpture and water feature in Oslo’s Frogner Park, created by Gustav Vigeland as part of his renowned Vigeland installation.
  • C. The Fountain
    "The Fountain" is a lyric poem by William Wordsworth that reflects on nature, memory, and the passage of time through a meditative dialogue by a spring.
  • D. Logorama
    Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
  • E. The Fountain (score)
    The Fountain (score) is a hauntingly atmospheric film soundtrack by composer Clint Mansell, known for its minimalist orchestration and emotional intensity.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.