Triple

T12928534
Position Surface form Disambiguated ID Type / Status
Subject Lumpy Space Princess E309307 entity
Predicate notableEpisode P2757 FINISHED
Object "Be Sweet"
"Be Sweet" is an episode of the animated television series Adventure Time that focuses on the character Lumpy Space Princess in a prominent role.
 E1011775 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: "Be Sweet" | Statement: [Lumpy Space Princess, notableEpisode, "Be Sweet"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Be Sweet"
Context triple: [Lumpy Space Princess, notableEpisode, "Be Sweet"]
  • A. "Sweet Love"
    "Sweet Love" is a smooth, soulful R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
  • B. “Sweet and Simple”
    “Sweet and Simple” is a song featured on the album *Evolution*.
  • C. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • D. Sweet and Lovely
    "Sweet and Lovely" is a popular jazz and pop standard from the early 1930s that has been widely recorded by numerous vocalists and instrumentalists.
  • E. You’re a Sweetheart
    "You’re a Sweetheart" is a popular swing-era song closely associated with bandleader Ozzie Nelson and his orchestra.
  • 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: "Be Sweet"
Triple: [Lumpy Space Princess, notableEpisode, "Be Sweet"]
Generated description
"Be Sweet" is an episode of the animated television series Adventure Time that focuses on the character Lumpy Space Princess in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Be Sweet"
Target entity description: "Be Sweet" is an episode of the animated television series Adventure Time that focuses on the character Lumpy Space Princess in a prominent role.
  • A. "Sweet Love"
    "Sweet Love" is a smooth, soulful R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
  • B. “Sweet and Simple”
    “Sweet and Simple” is a song featured on the album *Evolution*.
  • C. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • D. Sweet and Lovely
    "Sweet and Lovely" is a popular jazz and pop standard from the early 1930s that has been widely recorded by numerous vocalists and instrumentalists.
  • E. You’re a Sweetheart
    "You’re a Sweetheart" is a popular swing-era song closely associated with bandleader Ozzie Nelson and his orchestra.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.