Triple

T12997719
Position Surface form Disambiguated ID Type / Status
Subject Ricky Wintour E322082 entity
Predicate appearsIn P795 FINISHED
Object Pose (manga)
Pose is a Japanese manga series, likely in the sports or drama genre, known for its stylized storytelling and character-driven narrative.
 E1016412 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: Pose (manga) | Statement: [Ricky Wintour, appearsIn, Pose (manga)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pose (manga)
Context triple: [Ricky Wintour, appearsIn, Pose (manga)]
  • A. Shisō
    Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
  • B. Futsunushi
    Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
  • C. Aoi no Ue
    Aoi no Ue is a noblewoman and the first principal wife of Prince Genji in the classic Japanese literary work "The Tale of Genji."
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Nisekoi
    Nisekoi is a romantic comedy anime and manga series that follows a high school boy forced into a fake relationship with a yakuza boss’s daughter while searching for his childhood promise girl.
  • 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: Pose (manga)
Triple: [Ricky Wintour, appearsIn, Pose (manga)]
Generated description
Pose is a Japanese manga series, likely in the sports or drama genre, known for its stylized storytelling and character-driven narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pose (manga)
Target entity description: Pose is a Japanese manga series, likely in the sports or drama genre, known for its stylized storytelling and character-driven narrative.
  • A. Shisō
    Shisō is a city in Hyōgo Prefecture, Japan, known for its rural landscapes, forests, and historical sites.
  • B. Futsunushi
    Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
  • C. Aoi no Ue
    Aoi no Ue is a noblewoman and the first principal wife of Prince Genji in the classic Japanese literary work "The Tale of Genji."
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Nisekoi
    Nisekoi is a romantic comedy anime and manga series that follows a high school boy forced into a fake relationship with a yakuza boss’s daughter while searching for his childhood promise girl.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fe9d608190b9d503f4da1fe0c0 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c3beaf6881909be9c839206817b3 completed May 3, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69f6c48ee33c8190a50b308b12c08951 completed May 3, 2026, 3:44 a.m.
Created at: April 9, 2026, 8:46 p.m.