Triple
T6960394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chvrches |
E161352
|
entity |
| Predicate | hasHitSong |
P20452
|
FINISHED |
| Object |
Miracle
"Miracle" is a synth-pop single by Scottish band Chvrches, known for its anthemic chorus and darker, more aggressive production compared to much of their earlier work.
|
E631115
|
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: Miracle | Statement: [Chvrches, hasHitSong, Miracle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miracle Context triple: [Chvrches, hasHitSong, Miracle]
-
A.
Miracle
Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
-
B.
Miracle
"Miracle" is a song by the Canadian rock band One Heart, released as the follow-up single to their track "One Heart."
-
C.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
-
D.
Miracles
"Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
-
E.
Miracles
Miracles is a short-lived early-2000s supernatural drama television series centered on investigations of unexplained religious and paranormal phenomena.
- 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: Miracle Triple: [Chvrches, hasHitSong, Miracle]
Generated description
"Miracle" is a synth-pop single by Scottish band Chvrches, known for its anthemic chorus and darker, more aggressive production compared to much of their earlier work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miracle Target entity description: "Miracle" is a synth-pop single by Scottish band Chvrches, known for its anthemic chorus and darker, more aggressive production compared to much of their earlier work.
-
A.
Miracle
Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
-
B.
Miracle
"Miracle" is a song by the Canadian rock band One Heart, released as the follow-up single to their track "One Heart."
-
C.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
-
D.
Miracles
"Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
-
E.
Miracles
Miracles is a short-lived early-2000s supernatural drama television series centered on investigations of unexplained religious and paranormal phenomena.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daeee4d48190b078beeebb0053f4 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7589892888190bf240bdbf107efcc |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c7596571a48190a8a04b9b24b5e4cb |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a57dc308190a691d3ae55cc39ef |
completed | March 28, 2026, 4:34 a.m. |
Created at: March 27, 2026, 2:29 p.m.