Triple

T13288020
Position Surface form Disambiguated ID Type / Status
Subject The Museum of Innocence E316491 entity
Predicate mainCharacter P1183 FINISHED
Object Füsun
Füsun is a central female character in Orhan Pamuk’s novel "The Museum of Innocence," whose complex relationship with the protagonist drives the story’s themes of love, obsession, and memory.
 E1032991 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: Füsun | Statement: [The Museum of Innocence, mainCharacter, Füsun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Füsun
Context triple: [The Museum of Innocence, mainCharacter, Füsun]
  • A. Güls
    Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
  • B. Münevver
    Münevver is a Turkish feminine given name historically borne by several notable women in Turkish literature and arts.
  • C. Nergiz
    Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
  • D. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • E. Hülya
    Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • 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: Füsun
Triple: [The Museum of Innocence, mainCharacter, Füsun]
Generated description
Füsun is a central female character in Orhan Pamuk’s novel "The Museum of Innocence," whose complex relationship with the protagonist drives the story’s themes of love, obsession, and memory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Füsun
Target entity description: Füsun is a central female character in Orhan Pamuk’s novel "The Museum of Innocence," whose complex relationship with the protagonist drives the story’s themes of love, obsession, and memory.
  • A. Güls
    Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
  • B. Münevver
    Münevver is a Turkish feminine given name historically borne by several notable women in Turkish literature and arts.
  • C. Nergiz
    Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
  • D. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • E. Hülya
    Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:27 p.m.