Triple

T12804416
Position Surface form Disambiguated ID Type / Status
Subject Limelight E306106 entity
Predicate productionCompany P490 FINISHED
Object Rakontur
Rakontur is a Miami-based documentary film production company known for gritty, character-driven stories such as "Cocaine Cowboys" and "The U."
 E1004627 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: Rakontur | Statement: [Limelight, productionCompany, Rakontur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rakontur
Context triple: [Limelight, productionCompany, Rakontur]
  • A. Carepa
    Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
  • B. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • C. Ráckeve
    Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
  • D. Radbuza
    Radbuza is a river in the Czech Republic that flows through western Bohemia and is one of the main rivers running through the city of Plzeň.
  • E. Burlata
    Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
  • 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: Rakontur
Triple: [Limelight, productionCompany, Rakontur]
Generated description
Rakontur is a Miami-based documentary film production company known for gritty, character-driven stories such as "Cocaine Cowboys" and "The U."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rakontur
Target entity description: Rakontur is a Miami-based documentary film production company known for gritty, character-driven stories such as "Cocaine Cowboys" and "The U."
  • A. Carepa
    Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
  • B. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • C. Ráckeve
    Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
  • D. Radbuza
    Radbuza is a river in the Czech Republic that flows through western Bohemia and is one of the main rivers running through the city of Plzeň.
  • E. Burlata
    Burlata is a small municipality in the autonomous community of Navarre in northern Spain, situated just east of the regional capital Pamplona.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7e3be48190ba9159c9f1ac2ccd completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:30 p.m.