Triple

T17885904
Position Surface form Disambiguated ID Type / Status
Subject Victor Stone E447200 entity
Predicate alias P39 FINISHED
Object Vic Stone 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: Vic Stone | Statement: [Victor Stone, alias, Vic Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vic Stone
Context triple: [Victor Stone, alias, Vic Stone]
  • A. Victor Stone chosen
    Victor Stone is a DC Comics superhero better known as Cyborg, a technologically enhanced human with advanced cybernetic abilities and a key member of teams like the Teen Titans and Justice League.
  • B. Roy Harper
    Roy Harper is an English folk-rock singer-songwriter known for his poetic, often politically charged lyrics and collaborations with major rock artists such as Pink Floyd and Led Zeppelin.
  • C. Damian Wayne
    Damian Wayne is a DC Comics character who serves as the son of Batman and Talia al Ghul and becomes the fifth Robin in the Batman mythos.
  • D. Tim Drake
    Tim Drake is a DC Comics superhero best known as the third Robin and later as the vigilante Red Robin, a brilliant young detective and ally of Batman.
  • E. John Battsek
    John Battsek is a British film producer renowned for his work on acclaimed feature documentaries and sports-related non-fiction films.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c123748819091bf46178105079b completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.