Triple

T15164348
Position Surface form Disambiguated ID Type / Status
Subject Wowee Zowee E362296 entity
Predicate hasPart P35 FINISHED
Object We Dance
We Dance is a song featured on Pavement's 1995 indie rock album "Wowee Zowee."
E1140667 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: We Dance | Statement: [Wowee Zowee, hasPart, We Dance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: We Dance
Context triple: [Wowee Zowee, hasPart, We Dance]
  • A. Got to Dance
    Got to Dance is a televised dance competition show in which performers of various styles audition and compete before judges and a public vote.
  • B. One Dance
    "One Dance" is a globally successful 2016 dancehall-infused pop single by Drake featuring Wizkid and Kyla, known for topping charts worldwide and popularizing Afrobeat influences in mainstream music.
  • C. We Came to Dance
    "We Came to Dance" is a song by the British new wave band Ultravox, featured on their 1982 album Quartet and released as a single.
  • D. You Can Dance
    You Can Dance is a 1987 remix album by Madonna featuring extended and remixed versions of her earlier dance hits.
  • E. Shall We Dance
    "Shall We Dance" is a 1937 Hollywood musical film starring Fred Astaire and Ginger Rogers, celebrated for its sophisticated dance sequences and classic George and Ira Gershwin songs.
  • 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: We Dance
Triple: [Wowee Zowee, hasPart, We Dance]
Generated description
We Dance is a song featured on Pavement's 1995 indie rock album "Wowee Zowee."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: We Dance
Target entity description: We Dance is a song featured on Pavement's 1995 indie rock album "Wowee Zowee."
  • A. Got to Dance
    Got to Dance is a televised dance competition show in which performers of various styles audition and compete before judges and a public vote.
  • B. One Dance
    "One Dance" is a globally successful 2016 dancehall-infused pop single by Drake featuring Wizkid and Kyla, known for topping charts worldwide and popularizing Afrobeat influences in mainstream music.
  • C. We Came to Dance
    "We Came to Dance" is a song by the British new wave band Ultravox, featured on their 1982 album Quartet and released as a single.
  • D. You Can Dance
    You Can Dance is a 1987 remix album by Madonna featuring extended and remixed versions of her earlier dance hits.
  • E. Shall We Dance
    "Shall We Dance" is a 1937 Hollywood musical film starring Fred Astaire and Ginger Rogers, celebrated for its sophisticated dance sequences and classic George and Ira Gershwin songs.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffdf65c8190bf629dfc32b97caa completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 3:08 a.m.