Triple

T20478607
Position Surface form Disambiguated ID Type / Status
Subject Loren Dean E502391 entity
Predicate notableWork P4 FINISHED
Object Gattaca 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: Gattaca | Statement: [Loren Dean, notableWork, Gattaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gattaca
Context triple: [Loren Dean, notableWork, Gattaca]
  • A. Gattaca chosen
    Gattaca is a 1997 science fiction film that explores a dystopian future shaped by genetic engineering and discrimination.
  • B. Benjamin Button
    Benjamin Button is a fictional man who ages in reverse, growing younger as time passes, in F. Scott Fitzgerald’s story "The Curious Case of Benjamin Button."
  • C. What Dreams May Come
    What Dreams May Come is a metaphysical fantasy novel by Richard Matheson that explores love, the afterlife, and reincarnation through a man's journey beyond death to reunite with his wife.
  • D. The Truman Show
    The Truman Show is a 1998 satirical science-fiction film about a man who unknowingly lives his entire life as the star of a globally broadcast reality TV show.
  • E. Tree of Life
    The Tree of Life is a massive, intricately carved artificial baobab tree that serves as the iconic centerpiece of Disney's Animal Kingdom, featuring hundreds of animal sculptures on its trunk and roots.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.