Triple

T3313614
Position Surface form Disambiguated ID Type / Status
Subject Aladdin (1992 film) E69628 entity
Predicate featuresCharacter P626 FINISHED
Object Abu
Abu is Aladdin’s mischievous and loyal monkey sidekick in Disney’s animated Aladdin franchise.
 E347352 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: Abu | Statement: [Aladdin (1992 film), featuresCharacter, Abu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abu
Context triple: [Aladdin (1992 film), featuresCharacter, Abu]
  • A. Abu Arish
    Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
  • B. Umara
    Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
  • C. Omar
    Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
  • D. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • E. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • 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: Abu
Triple: [Aladdin (1992 film), featuresCharacter, Abu]
Generated description
Abu is Aladdin’s mischievous and loyal monkey sidekick in Disney’s animated Aladdin franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abu
Target entity description: Abu is Aladdin’s mischievous and loyal monkey sidekick in Disney’s animated Aladdin franchise.
  • A. Abu Arish
    Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
  • B. Umara
    Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
  • C. Omar
    Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
  • D. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • E. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa1dafe8819094905ac930fd1761 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.