Triple

T10008353
Position Surface form Disambiguated ID Type / Status
Subject Laugh Track E198307 entity
Predicate hasTrack P3284 FINISHED
Object Deep End (Paul’s in Pieces)
"Deep End (Paul’s in Pieces)" is a track by the American indie rock band Slow Pulp from their 2023 album "Laugh Track."
 E834718 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: Deep End (Paul’s in Pieces) | Statement: [Laugh Track, hasTrack, Deep End (Paul’s in Pieces)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deep End (Paul’s in Pieces)
Context triple: [Laugh Track, hasTrack, Deep End (Paul’s in Pieces)]
  • A. Off the Deep End
    Off the Deep End is a 1992 comedy album by "Weird Al" Yankovic best known for its parody of Nirvana's "Smells Like Teen Spirit" and its spoof of the Nevermind cover art.
  • B. The Deep End
    The Deep End is the passionate and energetic student section that supports the Michigan State Spartans football team at home games.
  • C. The Deep End
    The Deep End is an American legal drama television series that follows a group of young associates navigating the high-pressure world of a prestigious Los Angeles law firm.
  • D. Dig Deep
    "Dig Deep" is a song included on the album "Bombshell."
  • E. Endless Deep
    "Endless Deep" is a lesser-known U2 track that appears as the B-side to their single "Two Hearts Beat As One."
  • 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: Deep End (Paul’s in Pieces)
Triple: [Laugh Track, hasTrack, Deep End (Paul’s in Pieces)]
Generated description
"Deep End (Paul’s in Pieces)" is a track by the American indie rock band Slow Pulp from their 2023 album "Laugh Track."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deep End (Paul’s in Pieces)
Target entity description: "Deep End (Paul’s in Pieces)" is a track by the American indie rock band Slow Pulp from their 2023 album "Laugh Track."
  • A. Off the Deep End
    Off the Deep End is a 1992 comedy album by "Weird Al" Yankovic best known for its parody of Nirvana's "Smells Like Teen Spirit" and its spoof of the Nevermind cover art.
  • B. The Deep End
    The Deep End is the passionate and energetic student section that supports the Michigan State Spartans football team at home games.
  • C. The Deep End
    The Deep End is an American legal drama television series that follows a group of young associates navigating the high-pressure world of a prestigious Los Angeles law firm.
  • D. Dig Deep
    "Dig Deep" is a song included on the album "Bombshell."
  • E. Endless Deep
    "Endless Deep" is a lesser-known U2 track that appears as the B-side to their single "Two Hearts Beat As One."
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a683c208190a79ebc2e6ec5893c completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b4060548190980bd01ef550c4bd completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26bf054608190890377e9b7538842 completed April 5, 2026, 2:04 p.m.
Created at: March 30, 2026, 8:52 p.m.