Triple

T1880895
Position Surface form Disambiguated ID Type / Status
Subject Behind the Front E39850 entity
Predicate hasPart P35 FINISHED
Object Love Won’t Wait
"Love Won’t Wait" is a song featured on the Black Eyed Peas' debut studio album "Behind the Front."
E210374 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: Love Won’t Wait | Statement: [Behind the Front, hasPart, Love Won’t Wait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Won’t Wait
Context triple: [Behind the Front, hasPart, Love Won’t Wait]
  • A. Can’t Wait
    "Can’t Wait" is a song by Bob Dylan, featured on his acclaimed 1997 album *Time Out of Mind*, known for its moody, blues-infused sound and themes of longing and inevitability.
  • B. Waiting in Vain
    "Waiting in Vain" is a soulful reggae love song by Bob Marley, best known for its themes of unrequited love and its inclusion on the 1977 album *Exodus*.
  • C. Wait For Me
    "Wait For Me" is a track from Big Sean's debut studio album "Finally Famous," showcasing his introspective lyricism over melodic production.
  • D. Love Takes Time
    "Love Takes Time" is a soulful pop ballad by Mariah Carey that became one of her early hit singles, showcasing her powerful vocal range and emotive style.
  • E. No Time for Love
    No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
  • 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: Love Won’t Wait
Triple: [Behind the Front, hasPart, Love Won’t Wait]
Generated description
"Love Won’t Wait" is a song featured on the Black Eyed Peas' debut studio album "Behind the Front."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love Won’t Wait
Target entity description: "Love Won’t Wait" is a song featured on the Black Eyed Peas' debut studio album "Behind the Front."
  • A. Can’t Wait
    "Can’t Wait" is a song by Bob Dylan, featured on his acclaimed 1997 album *Time Out of Mind*, known for its moody, blues-infused sound and themes of longing and inevitability.
  • B. Waiting in Vain
    "Waiting in Vain" is a soulful reggae love song by Bob Marley, best known for its themes of unrequited love and its inclusion on the 1977 album *Exodus*.
  • C. Wait For Me
    "Wait For Me" is a track from Big Sean's debut studio album "Finally Famous," showcasing his introspective lyricism over melodic production.
  • D. Love Takes Time
    "Love Takes Time" is a soulful pop ballad by Mariah Carey that became one of her early hit singles, showcasing her powerful vocal range and emotive style.
  • E. No Time for Love
    No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5c55e081909fc6912e1283a73a completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade089c3848190a730957799b08993 completed March 8, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69ade14bd7e48190bf7d4832a4d46992 completed March 8, 2026, 8:51 p.m.
Created at: March 4, 2026, 7:34 p.m.