Triple

T16879956
Position Surface form Disambiguated ID Type / Status
Subject Hello Nasty E421390 entity
Predicate hasPart P35 FINISHED
Object Song for the Man
"Song for the Man" is a track by the Beastie Boys from their 1998 album *Hello Nasty*, known for its laid-back, jazzy groove and socially conscious lyrics.
 E1239641 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: Song for the Man | Statement: [Hello Nasty, hasPart, Song for the Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Song for the Man
Context triple: [Hello Nasty, hasPart, Song for the Man]
  • A. Straight to the Man
    Straight to the Man is a track from the Stone Roses’ album "Second Coming," showcasing the band’s blues-rock-influenced sound from their later period.
  • B. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • C. What Kind of Man
    "What Kind of Man" is a dramatic, guitar-driven indie rock song by Florence + The Machine, known for its intense emotional delivery and exploration of a tumultuous relationship.
  • D. Lonely Man
    "Lonely Man" is a song featured on the album "Years Gone By."
  • E. Nothing But a Man
    Nothing But a Man is a 1964 American independent drama film that portrays the struggles of a Black railroad worker and his family in the racially segregated American South.
  • 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: Song for the Man
Triple: [Hello Nasty, hasPart, Song for the Man]
Generated description
"Song for the Man" is a track by the Beastie Boys from their 1998 album *Hello Nasty*, known for its laid-back, jazzy groove and socially conscious lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Song for the Man
Target entity description: "Song for the Man" is a track by the Beastie Boys from their 1998 album *Hello Nasty*, known for its laid-back, jazzy groove and socially conscious lyrics.
  • A. Straight to the Man
    Straight to the Man is a track from the Stone Roses’ album "Second Coming," showcasing the band’s blues-rock-influenced sound from their later period.
  • B. My Man
    "My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
  • C. What Kind of Man
    "What Kind of Man" is a dramatic, guitar-driven indie rock song by Florence + The Machine, known for its intense emotional delivery and exploration of a tumultuous relationship.
  • D. Lonely Man
    "Lonely Man" is a song featured on the album "Years Gone By."
  • E. Nothing But a Man
    Nothing But a Man is a 1964 American independent drama film that portrays the struggles of a Black railroad worker and his family in the racially segregated American South.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7fa96588190837777c401880cb3 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a451708190897bb3332c1e7457 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8e20ab08190aaf7e5666f1e9ad8 completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9b7967081909353f1c911cb2633 completed May 10, 2026, 6:08 p.m.
Created at: April 10, 2026, 5:29 a.m.