Triple

T18764863
Position Surface form Disambiguated ID Type / Status
Subject Ana Claudia Talancón E458866 entity
Predicate familyName P18 FINISHED
Object Talancón
Talancón is a Spanish-language surname most notably borne by Mexican actress and model Ana Claudia Talancón.
 E1342000 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: Talancón | Statement: [Ana Claudia Talancón, familyName, Talancón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talancón
Context triple: [Ana Claudia Talancón, familyName, Talancón]
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Anguinán
    Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • C. Elciego
    Elciego is a small wine-producing town in Spain’s Rioja Alavesa region, known for its historic wineries and striking contemporary architecture.
  • D. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • E. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • 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: Talancón
Triple: [Ana Claudia Talancón, familyName, Talancón]
Generated description
Talancón is a Spanish-language surname most notably borne by Mexican actress and model Ana Claudia Talancón.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talancón
Target entity description: Talancón is a Spanish-language surname most notably borne by Mexican actress and model Ana Claudia Talancón.
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Anguinán
    Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
  • C. Elciego
    Elciego is a small wine-producing town in Spain’s Rioja Alavesa region, known for its historic wineries and striking contemporary architecture.
  • D. Lospalos
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • E. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d83ae10819094b3298cb8256327 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d407b0c819090e6d66430db4a39 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053df532c48190b153dd9f790f1cc8 completed May 14, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0541e2d4008190a8beb79812ccf485 completed May 14, 2026, 3:30 a.m.
Created at: April 10, 2026, 11:52 a.m.