Triple

T11983799
Position Surface form Disambiguated ID Type / Status
Subject Vicki Vale E285224 entity
Predicate worksIn P1527 FINISHED
Object Gotham City E127940 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: Gotham City | Statement: [Vicki Vale, worksIn, Gotham City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotham City
Context triple: [Vicki Vale, worksIn, Gotham City]
  • A. Gotham City chosen
    Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
  • B. Metropolis (DC Comics city)
    Metropolis (DC Comics city) is the iconic, futuristic urban setting in DC Comics best known as Superman’s primary home and a symbol of hope and modernity in the DC Universe.
  • C. Star City
    Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
  • D. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • E. Star City
    Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472286edc8190ac72d7dd2b646c91 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.