Triple

T11333954
Position Surface form Disambiguated ID Type / Status
Subject William Hoy E268420 entity
Predicate notableWork P4 FINISHED
Object 300 E225273 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: [William Hoy, notableWork, 300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 300
Context triple: [William Hoy, 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. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • E. 300 (film)
    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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5263cce588190a91f91cbdf023d5e completed April 19, 2026, 7 p.m.
Created at: April 8, 2026, 9:33 p.m.