Triple

T18875347
Position Surface form Disambiguated ID Type / Status
Subject Chad Coleman E461668 entity
Predicate characterIn P12208 FINISHED
Object Arrow (TV series) 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: Arrow (TV series) | Statement: [Chad Coleman, characterIn, Arrow (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arrow (TV series)
Context triple: [Chad Coleman, characterIn, Arrow (TV series)]
  • A. Arrow (TV series) chosen
    Arrow is an American superhero television series based on the DC Comics character Green Arrow, following billionaire vigilante Oliver Queen as he fights crime and corruption in Starling City.
  • B. Black Arrow
    Black Arrow is the famed enchanted arrow in J.R.R. Tolkien's "The Hobbit" that Bard the Bowman uses to slay the dragon Smaug.
  • C. Red Arrow
    Red Arrow is a DC Comics superhero identity most commonly associated with Roy Harper, the expert archer and longtime ally of Green Arrow.
  • D. Red Arrow
    Red Arrow is a branded limited express train service operated by Japan’s Seibu Railway, known for providing comfortable, faster intercity travel in the Tokyo metropolitan area.
  • E. Red Arrow
    Red Arrow was a named Pennsylvania Railroad passenger train that provided intercity service using the railroad’s streamlined passenger cars.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.