Triple

T12202153
Position Surface form Disambiguated ID Type / Status
Subject Master of Ceremonies E290740 entity
Predicate hasTrack P3284 FINISHED
Object Harsh
"Harsh" is a track by Master of Ceremonies, likely a hip-hop or rap song showcasing the artist’s lyrical style and performance.
 E971589 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: Harsh | Statement: [Master of Ceremonies, hasTrack, Harsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harsh
Context triple: [Master of Ceremonies, hasTrack, Harsh]
  • A. Brutal
    Brutal is the nickname of Brutus "Brutal" Howell, a character known as a large but kind-hearted prison guard in Stephen King's story "The Green Mile."
  • B. Cruel
    "Cruel" is a track from the album *Meaning of Life* by Kelly Clarkson, showcasing her soulful pop style and powerful vocals.
  • C. Nasty
    "Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
  • D. Nasty
    "Nasty" is a pop single by English singer Pixie Lott, known for its upbeat, retro-inspired sound and playful attitude.
  • E. Ruthless
    Ruthless is the longtime nickname of American mixed martial artist Robbie Lawler, reflecting his aggressive, hard-hitting fighting style in the UFC.
  • 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: Harsh
Triple: [Master of Ceremonies, hasTrack, Harsh]
Generated description
"Harsh" is a track by Master of Ceremonies, likely a hip-hop or rap song showcasing the artist’s lyrical style and performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harsh
Target entity description: "Harsh" is a track by Master of Ceremonies, likely a hip-hop or rap song showcasing the artist’s lyrical style and performance.
  • A. Brutal
    Brutal is the nickname of Brutus "Brutal" Howell, a character known as a large but kind-hearted prison guard in Stephen King's story "The Green Mile."
  • B. Cruel
    "Cruel" is a track from the album *Meaning of Life* by Kelly Clarkson, showcasing her soulful pop style and powerful vocals.
  • C. Nasty
    "Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
  • D. Nasty
    "Nasty" is a pop single by English singer Pixie Lott, known for its upbeat, retro-inspired sound and playful attitude.
  • E. Ruthless
    Ruthless is the longtime nickname of American mixed martial artist Robbie Lawler, reflecting his aggressive, hard-hitting fighting style in the UFC.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7b97408190a11ea37cc6edf18c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a982e308190979245ac9643465a completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdbee288190991b08ae685bb401 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f610b8efe88190907e84247d9e8456 completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:51 p.m.