Triple

T9721
Position Surface form Disambiguated ID Type / Status
Subject John Legend E196 entity
Predicate notableSong P4 FINISHED
Object Save Room
"Save Room" is a soulful R&B single by John Legend, known for its smooth melody and romantic lyrics.
E2156 NE FINISHED

How this triple was built (4 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: Save Room | Statement: [John Legend, notableSong, Save Room]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Save Room
Context triple: [John Legend, notableSong, Save Room]
  • A. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • B. The Palestra
    The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
  • C. Evolver
    Evolver is a studio album by American singer-songwriter John Legend that blends R&B, soul, and pop influences.
  • D. Terminal 8
    Terminal 8 is a major passenger terminal at New York’s John F. Kennedy International Airport, serving as a primary hub for American Airlines and several international carriers.
  • E. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Save Room
Triple: [John Legend, notableSong, Save Room]
Generated description
"Save Room" is a soulful R&B single by John Legend, known for its smooth melody and romantic lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Save Room
Target entity description: "Save Room" is a soulful R&B single by John Legend, known for its smooth melody and romantic lyrics.
  • A. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • B. The Palestra
    The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
  • C. Blue Room
    The Blue Room is an oval-shaped ceremonial reception room on the first floor of the White House, traditionally decorated in blue and used for formal gatherings and receiving guests.
  • D. Evolver
    Evolver is a studio album by American singer-songwriter John Legend that blends R&B, soul, and pop influences.
  • E. Terminal 8
    Terminal 8 is a major passenger terminal at New York’s John F. Kennedy International Airport, serving as a primary hub for American Airlines and several international carriers.
  • F. None of above. chosen

Provenance (5 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a2465b2cf881908bf61c461e04cf6a completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248deaab88190952bad0998755baf completed Feb. 28, 2026, 1:46 a.m.
NEDg Description generation batch_69a24cd6aa80819084770080b00c6e49 completed Feb. 28, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a24d8ad4dc8190a011b92da1c3ddde completed Feb. 28, 2026, 2:06 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.