Triple

T13287988
Position Surface form Disambiguated ID Type / Status
Subject The Black Book E316490 entity
Predicate protagonist P268 FINISHED
Object Galip
Galip is the introspective lawyer and central figure of Orhan Pamuk’s novel "The Black Book," whose search for his missing wife leads him through the labyrinthine streets and identities of Istanbul.
 E1032988 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: Galip | Statement: [The Black Book, protagonist, Galip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galip
Context triple: [The Black Book, protagonist, Galip]
  • A. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • B. Galali
    Galali is a coastal neighborhood located on Muharraq Island in the Kingdom of Bahrain.
  • C. Gelimar
    Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
  • D. Shapuri
    Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
  • E. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • 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: Galip
Triple: [The Black Book, protagonist, Galip]
Generated description
Galip is the introspective lawyer and central figure of Orhan Pamuk’s novel "The Black Book," whose search for his missing wife leads him through the labyrinthine streets and identities of Istanbul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galip
Target entity description: Galip is the introspective lawyer and central figure of Orhan Pamuk’s novel "The Black Book," whose search for his missing wife leads him through the labyrinthine streets and identities of Istanbul.
  • A. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • B. Galali
    Galali is a coastal neighborhood located on Muharraq Island in the Kingdom of Bahrain.
  • C. Gelimar
    Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
  • D. Shapuri
    Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
  • E. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • 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.