Triple

T16339266
Position Surface form Disambiguated ID Type / Status
Subject María Antonieta Hagenaar E396753 entity
Predicate alsoKnownAs P39 FINISHED
Object Maruca
Maruca is the nickname of María Antonieta Hagenaar, known primarily as the wife of Mexican muralist David Alfaro Siqueiros.
E1207278 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: Maruca | Statement: [María Antonieta Hagenaar, alsoKnownAs, Maruca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maruca
Context triple: [María Antonieta Hagenaar, alsoKnownAs, Maruca]
  • A. Maruim
    Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
  • B. Maro
    Maro is a small coastal village in the municipality of Nerja, in the province of Málaga, Spain, known for its nearby cliffs, beaches, and the famous Nerja Caves.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • E. Mararaba
    Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
  • 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: Maruca
Triple: [María Antonieta Hagenaar, alsoKnownAs, Maruca]
Generated description
Maruca is the nickname of María Antonieta Hagenaar, known primarily as the wife of Mexican muralist David Alfaro Siqueiros.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maruca
Target entity description: Maruca is the nickname of María Antonieta Hagenaar, known primarily as the wife of Mexican muralist David Alfaro Siqueiros.
  • A. Maruim
    Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
  • B. Maro
    Maro is a small coastal village in the municipality of Nerja, in the province of Málaga, Spain, known for its nearby cliffs, beaches, and the famous Nerja Caves.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • E. Mararaba
    Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da08fbc88190a31127d10ca633d6 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0028275f008190abd10f186bdf9fd2 completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0028e71de88190b48e33f2116e78dc completed May 10, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:07 a.m.