Triple

T10368183
Position Surface form Disambiguated ID Type / Status
Subject Bad Santa E244308 entity
Predicate filmingLocation P40 FINISHED
Object Phoenix, Arizona E526394 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: Phoenix, Arizona | Statement: [Bad Santa, filmingLocation, Phoenix, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Arizona
Context triple: [Bad Santa, filmingLocation, Phoenix, Arizona]
  • A. Phoenix, Arizona chosen
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
  • B. Phoenix, Arizona
    Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its sprawling metropolitan area, desert climate, and role as a major economic and cultural center of the American Southwest.
  • C. Phoenix
    Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
  • D. Phoenix
    Phoenix is a high-performance web development framework for the Elixir programming language, designed for building scalable, real-time applications.
  • E. Phoenix
    Phoenix is the powerful mutant alter-ego of Jean Grey in the X-Men franchise, known for her immense telepathic and telekinetic abilities and central role in several major storylines.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc10284c8190bcce0f058b88ef0e completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:01 p.m.