Triple

T20304827
Position Surface form Disambiguated ID Type / Status
Subject Achtung Jackass E505580 entity
Predicate hasTrack P3284 FINISHED
Object I Slept with Terry
"I Slept with Terry" is a song by the punk rock band Achtung Jackass.
E1422991 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: I Slept with Terry | Statement: [Achtung Jackass, hasTrack, I Slept with Terry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Slept with Terry
Context triple: [Achtung Jackass, hasTrack, I Slept with Terry]
  • A. Jennifer Slept Here
    Jennifer Slept Here is a short-lived 1980s American fantasy sitcom about a teenage boy haunted by the ghost of a glamorous Hollywood actress.
  • B. Burying the Ex
    Burying the Ex is a 2014 horror-comedy film about a young man whose overbearing ex-girlfriend returns from the dead to disrupt his new relationship.
  • C. Good in Bed
    Good in Bed is a pop song produced by Ian Kirkpatrick, best known for its playful, hook-driven sound and polished contemporary production.
  • D. The Wedding Night
    The Wedding Night is a 1935 romantic drama film directed by King Vidor, starring Gary Cooper and Anna Sten, that explores a troubled marriage and a forbidden love in rural New England.
  • E. The Good Girl
    The Good Girl is a 2002 indie drama film starring Jennifer Aniston as a disillusioned small-town store clerk whose affair with a younger coworker upends her stagnant life.
  • 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: I Slept with Terry
Triple: [Achtung Jackass, hasTrack, I Slept with Terry]
Generated description
"I Slept with Terry" is a song by the punk rock band Achtung Jackass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: I Slept with Terry
Target entity description: "I Slept with Terry" is a song by the punk rock band Achtung Jackass.
  • A. Jennifer Slept Here
    Jennifer Slept Here is a short-lived 1980s American fantasy sitcom about a teenage boy haunted by the ghost of a glamorous Hollywood actress.
  • B. Burying the Ex
    Burying the Ex is a 2014 horror-comedy film about a young man whose overbearing ex-girlfriend returns from the dead to disrupt his new relationship.
  • C. Good in Bed
    Good in Bed is a pop song produced by Ian Kirkpatrick, best known for its playful, hook-driven sound and polished contemporary production.
  • D. The Wedding Night
    The Wedding Night is a 1935 romantic drama film directed by King Vidor, starring Gary Cooper and Anna Sten, that explores a troubled marriage and a forbidden love in rural New England.
  • E. The Good Girl
    The Good Girl is a 2002 indie drama film starring Jennifer Aniston as a disillusioned small-town store clerk whose affair with a younger coworker upends her stagnant life.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773ed3248190ba949ec941e8d41f completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08611c2f248190bf7c69536022ee8a completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0862421d9c8190bcc0c2c6dc1e9936 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08632b4618819085a4cc20aa297c70 completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:18 a.m.