Triple

T11455667
Position Surface form Disambiguated ID Type / Status
Subject XD premium large format E271518 entity
Predicate competitor P1375 FINISHED
Object Regal RPX E315951 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: Regal RPX | Statement: [XD premium large format, competitor, Regal RPX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regal RPX
Context triple: [XD premium large format, competitor, Regal RPX]
  • A. Regal RPX chosen
    Regal RPX is a premium large-format movie auditorium brand from Regal Cinemas, featuring oversized screens, enhanced sound systems, and upgraded seating for an immersive theater experience.
  • B. REX
    REX is a radio science experiment instrument aboard NASA's New Horizons spacecraft used to study the atmospheres and surfaces of planetary bodies through radio signal measurements.
  • C. REX
    REX is an architecture firm known for its innovative, concept-driven building designs and influential contemporary projects.
  • D. REX
    REX is the radio callsign used by Rex Airlines, a major Australian regional carrier operating domestic passenger services.
  • E. Panoptix
    Panoptix is a Johnson Controls software platform that provides cloud-based building management and energy optimization solutions.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c71b1208190be1d5623d18e0222 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3e197c881909db2e4e59c61c3c3 completed April 20, 2026, 7:21 a.m.
Created at: April 8, 2026, 9:35 p.m.