Triple

T5885104
Position Surface form Disambiguated ID Type / Status
Subject Stacey Sher E130841 entity
Predicate produced P490 FINISHED
Object Gattaca E171637 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: Gattaca | Statement: [Stacey Sher, produced, Gattaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gattaca
Context triple: [Stacey Sher, produced, 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 (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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0367743508190bae211e9ce8f9690 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff9ecdc819098823b003cec66a2 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.