Triple

T17514478
Position Surface form Disambiguated ID Type / Status
Subject Sex Therapy E426532 entity
Predicate hasPart P35 FINISHED
Object Meiplé
Meiplé is a character featured in the manga and anime series "Sex Therapy."
E1274897 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: Meiplé | Statement: [Sex Therapy, hasPart, Meiplé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meiplé
Context triple: [Sex Therapy, hasPart, Meiplé]
  • A. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • B. Monpezat
    Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Villecroze
    Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
  • 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: Meiplé
Triple: [Sex Therapy, hasPart, Meiplé]
Generated description
Meiplé is a character featured in the manga and anime series "Sex Therapy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meiplé
Target entity description: Meiplé is a character featured in the manga and anime series "Sex Therapy."
  • A. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • B. Monpezat
    Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
  • C. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • D. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • E. Villecroze
    Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d2821b28819088866d20f849bb78 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d597c96c8190a5eca56a748da50c completed May 11, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a01d639c220819088dd3389d1ab60ca completed May 11, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:49 a.m.