Triple

T14771768
Position Surface form Disambiguated ID Type / Status
Subject Angels E347150 entity
Predicate include P1393 FINISHED
Object Nakir
Nakir is an Islamic angel who, alongside Munkar, questions the dead in their graves to test their faith.
E1121371 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: Nakir | Statement: [Angels, include, Nakir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakir
Context triple: [Angels, include, Nakir]
  • A. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • B. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • C. Nikare
    Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
  • D. Naklua
    Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
  • E. Nikaho
    Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
  • 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: Nakir
Triple: [Angels, include, Nakir]
Generated description
Nakir is an Islamic angel who, alongside Munkar, questions the dead in their graves to test their faith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nakir
Target entity description: Nakir is an Islamic angel who, alongside Munkar, questions the dead in their graves to test their faith.
  • A. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • B. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • C. Nikare
    Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
  • D. Naklua
    Naklua is a coastal district in the northern part of Pattaya, Thailand, known for its traditional fishing community, seafood markets, and quieter, more local atmosphere compared to central Pattaya.
  • E. Nikaho
    Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81334e08190a77d760e507d00ed completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388d398c81909d275f487cc38d9c completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3920e8a081909dd75a35dba3b86a completed May 8, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69fe39c006608190ac6a8e7fe512621f completed May 8, 2026, 7:30 p.m.
Created at: April 10, 2026, 1:31 a.m.