Triple

T13931462
Position Surface form Disambiguated ID Type / Status
Subject Free TC E335001 entity
Predicate hasTrack P3284 FINISHED
Object Miracle
"Miracle" is a track featured on the release "Free TC," likely contributing to the album’s blend of contemporary R&B and hip-hop.
E1069183 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: [Free TC, hasTrack, Miracle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miracle
Context triple: [Free TC, hasTrack, 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. 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.
  • D. 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.
  • E. Miracles
    "Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
  • 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: [Free TC, hasTrack, Miracle]
Generated description
"Miracle" is a track featured on the release "Free TC," likely contributing to the album’s blend of contemporary R&B and hip-hop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miracle
Target entity description: "Miracle" is a track featured on the release "Free TC," likely contributing to the album’s blend of contemporary R&B and hip-hop.
  • 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. 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.
  • D. 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.
  • E. Miracles
    "Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8452648190b7392d75eb1ca874 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf37cd7c81908f4da2495403bc6c completed May 3, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfee80a881909de648b20043bf6d completed May 3, 2026, 10:45 p.m.
Created at: April 9, 2026, 10:16 p.m.