Triple

T9781356
Position Surface form Disambiguated ID Type / Status
Subject Arrowverse E237380 entity
Predicate hasMainSeries P63701 FINISHED
Object Arrow E149849 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: Arrow | Statement: [Arrowverse, hasMainSeries, Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arrow
Context triple: [Arrowverse, hasMainSeries, Arrow]
  • A. Arrow
    Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
  • B. Arrow chosen
    Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
  • C. Arrow
    Arrow is a common English surname borne by various individuals, including the influential economist Kenneth Arrow.
  • D. Arrow
    Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
  • E. The Arrow
    The Arrow is the student-run newspaper of Southeast Missouri State University, covering campus news, events, and student life.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.