Triple

T9046297
Position Surface form Disambiguated ID Type / Status
Subject Béla Tarr E216763 entity
Predicate familyName P18 FINISHED
Object Tarr
Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
 E774348 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: Tarr | Statement: [Béla Tarr, familyName, Tarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarr
Context triple: [Béla Tarr, familyName, Tarr]
  • A. Torell
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • B. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • C. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • D. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • E. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • 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: Tarr
Triple: [Béla Tarr, familyName, Tarr]
Generated description
Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarr
Target entity description: Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
  • A. Torell
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • B. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • C. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • D. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • E. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebb7f668819099125ab727cd50b1 completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfed8970448190b3deac1d8f46c639 completed April 3, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.