Triple

T12436333
Position Surface form Disambiguated ID Type / Status
Subject Anne Hidalgo E297152 entity
Predicate familyName P18 FINISHED
Object Hidalgo
Hidalgo is a common Spanish surname historically associated with minor nobility and widely borne across the Spanish-speaking world.
 E983686 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: Hidalgo | Statement: [Anne Hidalgo, familyName, Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hidalgo
Context triple: [Anne Hidalgo, familyName, Hidalgo]
  • A. Hidalgo
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • B. Hidalgo
    Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
  • C. Hidalgo
    Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
  • D. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • E. Vera Cruz
    Vera Cruz is a surname most notably associated with Filipino American labor leader and civil rights activist Philip Vera Cruz.
  • 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: Hidalgo
Triple: [Anne Hidalgo, familyName, Hidalgo]
Generated description
Hidalgo is a common Spanish surname historically associated with minor nobility and widely borne across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hidalgo
Target entity description: Hidalgo is a common Spanish surname historically associated with minor nobility and widely borne across the Spanish-speaking world.
  • A. Hidalgo
    Hidalgo is a central Mexican state known for its mountainous terrain, rich mining history, and diverse indigenous cultural heritage.
  • B. Hidalgo
    Hidalgo is a major Mexico City Metro station that serves as an important transfer point between multiple lines in the city’s rapid transit system.
  • C. Hidalgo
    Hidalgo is a 2004 adventure Western film starring Viggo Mortensen as a long-distance rider competing in a grueling desert horse race.
  • D. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • E. Vera Cruz
    Vera Cruz is a surname most notably associated with Filipino American labor leader and civil rights activist Philip Vera Cruz.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:55 p.m.