Triple

T13387914
Position Surface form Disambiguated ID Type / Status
Subject Handan E319492 entity
Predicate featuresCharacter P626 FINISHED
Object Handan (protagonist)
Handan (protagonist) is a central fictional character whose personal journey and experiences drive the narrative of the work in which she appears.
E1037227 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: Handan (protagonist) | Statement: [Handan, featuresCharacter, Handan (protagonist)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handan (protagonist)
Context triple: [Handan, featuresCharacter, Handan (protagonist)]
  • A. Peyveste Hanım
    Peyveste Hanım was one of the consorts of Ottoman Sultan Abdul Hamid II and a member of the late Ottoman imperial harem.
  • B. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • C. Hekimhan
    Hekimhan is a town and district in Malatya Province in eastern Turkey.
  • D. Gul'dan
    Gul'dan is a powerful orc warlock and one of the primary antagonists in the Warcraft universe, known for his ruthless pursuit of demonic power and betrayal of his own people.
  • E. Melek
    Melek is a given name and variant of Malek, used in various cultures and languages.
  • 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: Handan (protagonist)
Triple: [Handan, featuresCharacter, Handan (protagonist)]
Generated description
Handan (protagonist) is a central fictional character whose personal journey and experiences drive the narrative of the work in which she appears.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Handan (protagonist)
Target entity description: Handan (protagonist) is a central fictional character whose personal journey and experiences drive the narrative of the work in which she appears.
  • A. Peyveste Hanım
    Peyveste Hanım was one of the consorts of Ottoman Sultan Abdul Hamid II and a member of the late Ottoman imperial harem.
  • B. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • C. Hekimhan
    Hekimhan is a town and district in Malatya Province in eastern Turkey.
  • D. Gul'dan
    Gul'dan is a powerful orc warlock and one of the primary antagonists in the Warcraft universe, known for his ruthless pursuit of demonic power and betrayal of his own people.
  • E. Melek
    Melek is a given name and variant of Malek, used in various cultures and languages.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7272115f4819092e4fa0fd7f130b5 completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f72992483c8190873ba7050ad9e6fa completed May 3, 2026, 10:55 a.m.
Created at: April 9, 2026, 9:34 p.m.