Triple

T5092784
Position Surface form Disambiguated ID Type / Status
Subject Miquel E114791 entity
Predicate hasShortForm P43 FINISHED
Object Miqui
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
E492014 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: Miqui | Statement: [Miquel, hasShortForm, Miqui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miqui
Context triple: [Miquel, hasShortForm, Miqui]
  • A. Lali
    Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • B. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • C. Marta Estrella
    Marta Estrella is a recurring character on the television series "Arrested Development," known as a Spanish-language soap opera star who becomes romantically involved with multiple members of the Bluth family.
  • D. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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: Miqui
Triple: [Miquel, hasShortForm, Miqui]
Generated description
Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miqui
Target entity description: Miqui is a diminutive or affectionate short form of the given name Miquel, commonly used in Catalan- and Spanish-speaking contexts.
  • A. Lali
    Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • B. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • C. Marta Estrella
    Marta Estrella is a recurring character on the television series "Arrested Development," known as a Spanish-language soap opera star who becomes romantically involved with multiple members of the Bluth family.
  • D. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14f097081908d835190f13796dd completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb202a8748190b677d7bcd2db66c8 completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb28cf7b881909d40b70a7fff5033 completed March 21, 2026, 3 p.m.
Created at: March 20, 2026, 1:40 p.m.