Triple
T3128293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Willin' |
E65348
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Young Boy
"Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
|
E329832
|
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: Young Boy | Statement: [Lord Willin', hasPart, Young Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Boy Context triple: [Lord Willin', hasPart, Young Boy]
-
A.
Young Boy
"Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
-
B.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
-
C.
Johnny Boy
Johnny Boy is a reckless, self-destructive young hoodlum in Martin Scorsese’s film "Mean Streets," emblematic of the chaotic, doomed underworld life the movie portrays.
-
D.
Boy
"Boy" is the debut studio album by Irish rock band U2, known for its youthful themes and introducing the band's distinctive post-punk sound.
-
E.
Baby Boy
"Baby Boy" is a 2003 R&B and dancehall-influenced song by Beyoncé featuring Sean Paul, released as a single from her debut solo album "Dangerously in Love."
- 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: Young Boy Triple: [Lord Willin', hasPart, Young Boy]
Generated description
"Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Young Boy Target entity description: "Young Boy" is a track by the hip-hop duo Clipse from their debut album "Lord Willin'."
-
A.
Young Boy
"Young Boy" is a song featured on Paul McCartney’s 1997 album "Flaming Pie."
-
B.
Animal Boy
"Animal Boy" is a 1986 punk rock album by the Ramones that blends their classic high-energy sound with more politically charged and socially conscious themes.
-
C.
Johnny Boy
Johnny Boy is a reckless, self-destructive young hoodlum in Martin Scorsese’s film "Mean Streets," emblematic of the chaotic, doomed underworld life the movie portrays.
-
D.
Boy
"Boy" is the debut studio album by Irish rock band U2, known for its youthful themes and introducing the band's distinctive post-punk sound.
-
E.
Baby Boy
Baby Boy is a 2001 coming-of-age drama film directed by John Singleton that explores the struggles of a young Black man confronting adulthood, responsibility, and relationships in South Central Los Angeles.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2138e2bdc8190aa0a8a1dcd1e20fc |
completed | March 12, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21438b6e881908da0117ebc9bb2b4 |
completed | March 12, 2026, 1:17 a.m. |
Created at: March 8, 2026, 3:04 p.m.