Triple

T17807164
Position Surface form Disambiguated ID Type / Status
Subject Lynn Varley E444594 entity
Predicate notableWork P4 FINISHED
Object 300 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: 300 | Statement: [Lynn Varley, notableWork, 300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 300
Context triple: [Lynn Varley, notableWork, 300]
  • A. 300
    300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
  • B. 30
    30 is Adele’s critically acclaimed third studio album, known for its soulful ballads and themes of heartbreak and self-reflection.
  • C. 300 (comic series) chosen
    300 (comic series) is a graphic novel by Frank Miller, with art by Lynn Varley, that stylizes and dramatizes the Battle of Thermopylae through bold visuals and mythic storytelling.
  • D. 300 (franchise)
    300 (franchise) is a multimedia series centered on stylized, historically inspired action stories about the Battle of Thermopylae and related Spartan warfare, originating from Frank Miller’s graphic novel and popularized by the 2006 film adaptation and its sequel.
  • E. 27000
    27000 is the tail number of a historic Boeing VC-137C aircraft that served for decades as Air Force One for U.S. presidents.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488044cdc8190a09a2265c8a86475 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:14 a.m.