Triple

T5423198
Position Surface form Disambiguated ID Type / Status
Subject Everything Must Go E121298 entity
Predicate filmingLocation P40 FINISHED
Object Phoenix, Arizona E9582 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: [Everything Must Go, filmingLocation, Phoenix, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix, Arizona
Context triple: [Everything Must Go, filmingLocation, Phoenix, Arizona]
  • A. Phoenix chosen
    Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
  • B. Phoenix
    Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
  • C. Phoenix
    Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
  • D. Phoenix
    Phoenix is a figure in Greek mythology, often depicted as a son of Agenor and associated with the legendary founding of Phoenicia.
  • E. Phoenix
    Phoenix is a themed amusement park attraction likely centered on a fiery, reborn-from-the-ashes motif inspired by the mythical bird.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8812f84c819094d8516f69fff83d completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1e755081909649e0dd8c4d2270 completed March 22, 2026, 9:45 a.m.
Created at: March 20, 2026, 2:06 p.m.