Triple

T15920855
Position Surface form Disambiguated ID Type / Status
Subject Little Broken Hearts E386087 entity
Predicate hasTrack P3284 FINISHED
Object Miriam
"Miriam" is a song from Norah Jones's album "Little Broken Hearts," noted for its dark, vengeful lyrics and haunting, atmospheric sound.
E1184139 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: Miriam | Statement: [Little Broken Hearts, hasTrack, Miriam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam
Context triple: [Little Broken Hearts, hasTrack, Miriam]
  • A. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • B. Miriam
    Miriam "Midge" Maisel is the quick-witted 1950s New York housewife-turned-stand-up-comedian who stars as the protagonist of the television series "The Marvelous Mrs. Maisel."
  • C. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • D. Miriam
    Miriam is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle."
  • E. Miriam
    Miriam is the birth name of American country music singer and songwriter Jessi Colter.
  • 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: Miriam
Triple: [Little Broken Hearts, hasTrack, Miriam]
Generated description
"Miriam" is a song from Norah Jones's album "Little Broken Hearts," noted for its dark, vengeful lyrics and haunting, atmospheric sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miriam
Target entity description: "Miriam" is a song from Norah Jones's album "Little Broken Hearts," noted for its dark, vengeful lyrics and haunting, atmospheric sound.
  • A. Miriam
    Miriam is the birth name of American country music singer and songwriter Jessi Colter.
  • B. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • C. Miriam
    Miriam is a key member of the underground resistance group known as the Fishes in the dystopian world of "Children of Men."
  • D. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • E. Miriam
    Miriam is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156818cbc819086c956475ad23825 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a96e508190a64c2be6dc506e86 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb62f3d8881908ede4a9a4b53bef2 completed May 9, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffb6f3154481909632913f4d7cfdba completed May 9, 2026, 10:36 p.m.
Created at: April 10, 2026, 4:52 a.m.