Triple

T10689242
Position Surface form Disambiguated ID Type / Status
Subject Vincent Regan E251964 entity
Predicate notableWork P4 FINISHED
Object 300 E793297 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: 300 | Statement: [Vincent Regan, notableWork, 300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 300
Context triple: [Vincent Regan, 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)
    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. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • E. 300 (film) chosen
    300 is a stylized 2006 epic action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through highly visual, graphic novel-inspired storytelling.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1aef888190ba92474af3a49e36 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:11 p.m.