Triple

T18149303
Position Surface form Disambiguated ID Type / Status
Subject Dance into the Light E434463 entity
Predicate hasTrack P3284 FINISHED
Object River So Wide
"River So Wide" is a song by Phil Collins from his 1996 album *Dance into the Light*, blending pop-rock with reflective, socially conscious lyrics.
 E1307754 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: River So Wide | Statement: [Dance into the Light, hasTrack, River So Wide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River So Wide
Context triple: [Dance into the Light, hasTrack, River So Wide]
  • A. Hold Back the River
    "Hold Back the River" is a soulful, folk-influenced pop song by English singer-songwriter James Bay that became one of his breakout hits.
  • B. So Big
    So Big is a 1953 American drama film adaptation of Edna Ferber’s Pulitzer Prize–winning novel, focusing on a woman’s struggles and resilience as she raises her son in a rural farming community.
  • C. So Much More
    "So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • 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: River So Wide
Triple: [Dance into the Light, hasTrack, River So Wide]
Generated description
"River So Wide" is a song by Phil Collins from his 1996 album *Dance into the Light*, blending pop-rock with reflective, socially conscious lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River So Wide
Target entity description: "River So Wide" is a song by Phil Collins from his 1996 album *Dance into the Light*, blending pop-rock with reflective, socially conscious lyrics.
  • A. Hold Back the River
    "Hold Back the River" is a soulful, folk-influenced pop song by English singer-songwriter James Bay that became one of his breakout hits.
  • B. So Big
    So Big is a 1953 American drama film adaptation of Edna Ferber’s Pulitzer Prize–winning novel, focusing on a woman’s struggles and resilience as she raises her son in a rural farming community.
  • C. So Much More
    "So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
  • D. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • E. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de372e8081908b52fe33c870716e completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0385582bd8819092cf077945fb2b35 completed May 12, 2026, 7:54 p.m.
NEDg Description generation batch_6a03861898948190b3ada048d9ea274c completed May 12, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0386b90e308190807af4d407840985 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.