Triple

T1664694
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Girls E35983 entity
Predicate setting P1957 FINISHED
Object Chelsea Hotel E48663 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: Chelsea Hotel | Statement: [Chelsea Girls, setting, Chelsea Hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea Hotel
Context triple: [Chelsea Girls, setting, Chelsea Hotel]
  • A. Chelsea Hotel #2
    "Chelsea Hotel #2" is a folk song by Leonard Cohen, best known for its intimate, reflective lyrics about a brief love affair at New York’s Chelsea Hotel.
  • B. Hotel Chelsea chosen
    Hotel Chelsea is a historic New York City hotel and former residential haven famed for its association with artists, writers, and musicians throughout the 20th century.
  • C. Hotel Street
    Hotel Street is a historic thoroughfare in Honolulu’s Chinatown district, long known as a bustling center of nightlife, commerce, and local culture.
  • D. The Cantab Lounge
    The Cantab Lounge is a long-running, no-frills bar and music venue in Cambridge, Massachusetts, known for its live folk, bluegrass, and local band performances.
  • E. The Joule Hotel
    The Joule Hotel is a luxury boutique hotel in downtown Dallas known for its striking neo-Gothic architecture, upscale amenities, and vibrant art-filled interiors.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ad958f48190a6344e1be78b574d completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682fd42881908ecd0f331e81aba8 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.