Triple

T7044046
Position Surface form Disambiguated ID Type / Status
Subject Tamburlaine E163583 entity
Predicate character P662 FINISHED
Object Techelles
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
 E639334 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: Techelles | Statement: [Tamburlaine, character, Techelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Techelles
Context triple: [Tamburlaine, character, Techelles]
  • A. Tekno
    Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
  • B. Technologic
    "Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
  • C. Techstreet
    Techstreet is an online platform that provides access to technical standards and industry codes from numerous standards organizations worldwide.
  • D. Tech
    The Tech is a river in southern France that flows through the Pyrénées-Orientales in the Occitanie region before emptying into the Mediterranean Sea.
  • E. Gtech
    Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
  • 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: Techelles
Triple: [Tamburlaine, character, Techelles]
Generated description
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Techelles
Target entity description: Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
  • A. Tekno
    Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
  • B. Technologic
    "Technologic" is a 2005 electronic dance track by French duo Daft Punk, known for its robotic vocals listing technology-related commands over a minimalist, catchy beat.
  • C. Techstreet
    Techstreet is an online platform that provides access to technical standards and industry codes from numerous standards organizations worldwide.
  • D. Tech
    The Tech is a river in southern France that flows through the Pyrénées-Orientales in the Occitanie region before emptying into the Mediterranean Sea.
  • E. Gtech
    Gtech is a British home and garden appliance company best known for its cordless vacuum cleaners and other innovative household products.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887141ac81909cb5e996a89e4ec5 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78c46ec18819098a6d0b0e6e4ce8b completed March 28, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c78caca6dc8190bc03d285fbcd7910 completed March 28, 2026, 8:09 a.m.
Created at: March 27, 2026, 2:37 p.m.