Triple

T14944038
Position Surface form Disambiguated ID Type / Status
Subject The Wind and the Lion E372605 entity
Predicate mainCharacter P1183 FINISHED
Object Raisuli
Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
 E1128387 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: Raisuli | Statement: [The Wind and the Lion, mainCharacter, Raisuli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raisuli
Context triple: [The Wind and the Lion, mainCharacter, Raisuli]
  • A. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Rukuhia
    Rukuhia is a rural locality in the Waikato region of New Zealand, situated just south of Hamilton and known for its proximity to Hamilton Airport.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • 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: Raisuli
Triple: [The Wind and the Lion, mainCharacter, Raisuli]
Generated description
Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raisuli
Target entity description: Raisuli is a charismatic Berber chieftain and anti-hero in the adventure film "The Wind and the Lion," loosely based on the historical Moroccan brigand Mulai Ahmed er Raisuni.
  • A. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Rukuhia
    Rukuhia is a rural locality in the Waikato region of New Zealand, situated just south of Hamilton and known for its proximity to Hamilton Airport.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9484e8819086ca6a59d672e49d completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7f8cdc8c81908c961ffa83cbd19e completed May 9, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69fe801d6b048190a7c7e50ad53b1260 completed May 9, 2026, 12:30 a.m.
Created at: April 10, 2026, 2:38 a.m.