Triple

T12188010
Position Surface form Disambiguated ID Type / Status
Subject Midnight Express E290385 entity
Predicate character P662 FINISHED
Object Hamidou
Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
E970281 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: Hamidou | Statement: [Midnight Express, character, Hamidou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamidou
Context triple: [Midnight Express, character, Hamidou]
  • A. Khadimou
    Khadimou is the given name of Khadimou Rassoul Cheikh Fall, better known as the Senegalese rapper and songwriter Sheck Wes.
  • B. Mamoudou
    Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • E. Hassan
    Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • 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: Hamidou
Triple: [Midnight Express, character, Hamidou]
Generated description
Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamidou
Target entity description: Hamidou is a brutal Turkish prison guard and primary antagonist in the film "Midnight Express."
  • A. Khadimou
    Khadimou is the given name of Khadimou Rassoul Cheikh Fall, better known as the Senegalese rapper and songwriter Sheck Wes.
  • B. Mamoudou
    Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • E. Hassan
    Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8a92688190867b3e7191c3f43e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.