Triple

T15165417
Position Surface form Disambiguated ID Type / Status
Subject Laughing Matter E362326 entity
Predicate hasPart P35 FINISHED
Object Xoxo
Xoxo is likely a segment, track, or component of the creative work "Laughing Matter," such as a song on an album or a chapter in a larger artistic project.
 E1142467 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: Xoxo | Statement: [Laughing Matter, hasPart, Xoxo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xoxo
Context triple: [Laughing Matter, hasPart, Xoxo]
  • A. XOXO
    XOXO is a 2016 ensemble drama film centered on a group of young people whose lives intersect at a massive electronic dance music festival.
  • B. Noo-Noo
    Noo-Noo is the blue, vacuum-like robotic cleaner character from the children's television series "Teletubbies," known for tidying up after the Teletubbies and making distinctive slurping sounds.
  • C. Poosh
    Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
  • D. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • E. Minx
    Minx is an American comedy-drama television series set in the 1970s publishing world that follows the creation of a pioneering feminist erotic magazine.
  • 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: Xoxo
Triple: [Laughing Matter, hasPart, Xoxo]
Generated description
Xoxo is likely a segment, track, or component of the creative work "Laughing Matter," such as a song on an album or a chapter in a larger artistic project.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xoxo
Target entity description: Xoxo is likely a segment, track, or component of the creative work "Laughing Matter," such as a song on an album or a chapter in a larger artistic project.
  • A. XOXO
    XOXO is a 2016 ensemble drama film centered on a group of young people whose lives intersect at a massive electronic dance music festival.
  • B. Noo-Noo
    Noo-Noo is the blue, vacuum-like robotic cleaner character from the children's television series "Teletubbies," known for tidying up after the Teletubbies and making distinctive slurping sounds.
  • C. Poosh
    Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
  • D. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • E. Minx
    Minx is an American comedy-drama television series set in the 1970s publishing world that follows the creation of a pioneering feminist erotic magazine.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:08 a.m.