Triple

T17328207
Position Surface form Disambiguated ID Type / Status
Subject Jason Kliot E420742 entity
Predicate notableWork P4 FINISHED
Object The Gray Zone E731012 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: The Gray Zone | Statement: [Jason Kliot, notableWork, The Gray Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gray Zone
Context triple: [Jason Kliot, notableWork, The Gray Zone]
  • A. The Grey Zone chosen
    The Grey Zone is a 2001 Holocaust drama film written and directed by Tim Blake Nelson that portrays the moral complexities faced by Jewish Sonderkommando prisoners in Auschwitz.
  • B. The Gray Horizon
    The Gray Horizon is a 1919 American silent drama film starring and directed by Japanese actor Sessue Hayakawa.
  • C. Shades of Gray
    "Shades of Gray" is a song co-written by acclaimed American songwriter Cynthia Weil, known for her influential contributions to pop and rock music.
  • D. Beyond the Gray Sky
    "Beyond the Gray Sky" is a song by the American rock band Evolver.
  • E. La zona
    La zona is a Spanish television drama series that follows the investigation of a police inspector in the aftermath of a catastrophic nuclear accident in northern Spain.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4dff088190833122dbe2981045 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.