Triple

T22515624
Position Surface form Disambiguated ID Type / Status
Subject Swan Song Records E556638 entity
Predicate notableArtist P601 FINISHED
Object Sad Café
Sad Café was a British soft rock band best known for their late-1970s hits such as "Every Day Hurts."
E1539777 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: Sad Café | Statement: [Swan Song Records, notableArtist, Sad Café]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sad Café
Context triple: [Swan Song Records, notableArtist, Sad Café]
  • A. Cafe Au Go Go
    Cafe Au Go Go was a famed 1960s Greenwich Village nightclub in New York City known for hosting influential blues, folk, and rock performers.
  • B. The Cafe
    The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
  • C. Old Songs in a New Café
    Old Songs in a New Café is a collection of essays and reflections by Robert James Waller that blends personal reminiscence, travel writing, and meditations on love and music.
  • D. From a Sidewalk Cafe
    "From a Sidewalk Cafe" is a light, melodic instrumental piece by Canadian pianist and composer Frank Mills, known for its easy-listening charm and romantic, nostalgic mood.
  • E. The Café Scene
    The Café Scene is a painting by French artist Henri Gervex that vividly captures the lively social atmosphere of a Parisian café in the late 19th century.
  • 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: Sad Café
Triple: [Swan Song Records, notableArtist, Sad Café]
Generated description
Sad Café was a British soft rock band best known for their late-1970s hits such as "Every Day Hurts."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sad Café
Target entity description: Sad Café was a British soft rock band best known for their late-1970s hits such as "Every Day Hurts."
  • A. Cafe Au Go Go
    Cafe Au Go Go was a famed 1960s Greenwich Village nightclub in New York City known for hosting influential blues, folk, and rock performers.
  • B. The Cafe
    The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
  • C. Old Songs in a New Café
    Old Songs in a New Café is a collection of essays and reflections by Robert James Waller that blends personal reminiscence, travel writing, and meditations on love and music.
  • D. From a Sidewalk Cafe
    "From a Sidewalk Cafe" is a light, melodic instrumental piece by Canadian pianist and composer Frank Mills, known for its easy-listening charm and romantic, nostalgic mood.
  • E. The Café Scene
    The Café Scene is a painting by French artist Henri Gervex that vividly captures the lively social atmosphere of a Parisian café in the late 19th century.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2cfc908190b3489228a1997f45 completed April 29, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17f152848190b4c8dc77596d625d completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b1842c7208190801bce8d6fdb2bca completed May 18, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1910f4a8819081644157406c523f completed May 18, 2026, 1:50 p.m.
Created at: April 16, 2026, 8:50 p.m.