Triple

T10539735
Position Surface form Disambiguated ID Type / Status
Subject David Wenham E248663 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: [David Wenham, notableWork, 300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 300
Context triple: [David Wenham, 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5730d88190b266a940faf53f65 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9340da2948190950e7c0ceea12cb1 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:32 p.m.