Triple

T7656708
Position Surface form Disambiguated ID Type / Status
Subject Terry Grossman E173402 entity
Predicate workedOn P3 FINISHED
Object The Golden Palace E25768 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: The Golden Palace | Statement: [Terry Grossman, workedOn, The Golden Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Golden Palace
Context triple: [Terry Grossman, workedOn, The Golden Palace]
  • A. The Golden Palace chosen
    The Golden Palace is a short-lived 1990s American sitcom that served as a spin-off and continuation of the popular series The Golden Girls, following several of the original characters as they run a Miami hotel.
  • B. United Palace
    United Palace is a historic theater and cultural venue in New York City known for its ornate architecture and use as a performing arts and community space.
  • C. Moon Palace Hotel
    Moon Palace Hotel is a large beachfront resort complex in Cancún, Mexico, known for hosting major international events and conferences.
  • D. Excalibur Hotel and Casino
    Excalibur Hotel and Casino is a medieval castle–themed resort and casino in Las Vegas known for its distinctive architecture and budget-friendly accommodations.
  • E. Regal Crown Club
    Regal Crown Club is the customer loyalty program of Regal Entertainment Group that rewards frequent moviegoers with points, discounts, and special offers.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a21dd3088190bb026de65970a14b completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 3:59 p.m.