Triple

T5127702
Position Surface form Disambiguated ID Type / Status
Subject Nairobi E115622 entity
Predicate parentOf P120 FINISHED
Object Axel
Axel is a child associated with Nairobi, a character from the Spanish television series "Money Heist" (La Casa de Papel).
E496736 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: Axel | Statement: [Nairobi, parentOf, Axel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Axel
Context triple: [Nairobi, parentOf, Axel]
  • A. Axel
    Axel is a given name associated with the Finnish painter Akseli Gallen-Kallela, renowned for his depictions of the Kalevala and contributions to Finnish national romantic art.
  • B. Axel Hubert
    Axel Hubert is an editor known for his work on the publication titled "The Prophecy."
  • C. Ian Axel
    Ian Axel is an American singer-songwriter and pianist best known as one half of the duo A Great Big World, whose emotional ballads gained widespread popularity in the 2010s.
  • D. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • E. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • 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: Axel
Triple: [Nairobi, parentOf, Axel]
Generated description
Axel is a child associated with Nairobi, a character from the Spanish television series "Money Heist" (La Casa de Papel).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Axel
Target entity description: Axel is a child associated with Nairobi, a character from the Spanish television series "Money Heist" (La Casa de Papel).
  • A. Axel
    Axel is a given name associated with the Finnish painter Akseli Gallen-Kallela, renowned for his depictions of the Kalevala and contributions to Finnish national romantic art.
  • B. Axel Hubert
    Axel Hubert is an editor known for his work on the publication titled "The Prophecy."
  • C. Ian Axel
    Ian Axel is an American singer-songwriter and pianist best known as one half of the duo A Great Big World, whose emotional ballads gained widespread popularity in the 2010s.
  • D. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • E. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd782428a081909583c7f368226daf completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4beb7b48190a2f4e41a13fdd5f3 completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec571d5948190b659a7b5038f8bdd completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec973e71c8190a9c043389d627156 completed March 21, 2026, 4:38 p.m.
Created at: March 20, 2026, 1:42 p.m.