Triple

T13936352
Position Surface form Disambiguated ID Type / Status
Subject King Arthur (2004 film) E335130 entity
Predicate character P662 FINISHED
Object Bors
Bors is a gruff, battle-hardened knight and loyal companion of Arthur in the 2004 film "King Arthur," often providing comic relief amid the film’s gritty realism.
E1069538 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: Bors | Statement: [King Arthur (2004 film), character, Bors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bors
Context triple: [King Arthur (2004 film), character, Bors]
  • A. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • B. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • C. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • D. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • E. Borsad
    Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
  • 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: Bors
Triple: [King Arthur (2004 film), character, Bors]
Generated description
Bors is a gruff, battle-hardened knight and loyal companion of Arthur in the 2004 film "King Arthur," often providing comic relief amid the film’s gritty realism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bors
Target entity description: Bors is a gruff, battle-hardened knight and loyal companion of Arthur in the 2004 film "King Arthur," often providing comic relief amid the film’s gritty realism.
  • A. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • B. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • C. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • D. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • E. Borsad
    Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce880a98819086ae25d3408bc723 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf24c9d88190b6e93859cb3659ef completed May 3, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfa34a448190affb5b86efc37cf4 completed May 3, 2026, 10:43 p.m.
Created at: April 9, 2026, 10:17 p.m.