Triple

T3941652
Position Surface form Disambiguated ID Type / Status
Subject Manuel Montt E92046 entity
Predicate familyName P18 FINISHED
Object Montt
Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
 E401092 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: Montt | Statement: [Manuel Montt, familyName, Montt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montt
Context triple: [Manuel Montt, familyName, Montt]
  • A. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • B. Balmaceda
    Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
  • C. Valdivia
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • D. Carahue
    Carahue is a Chilean town and municipality located in the Cautín Province of the Araucanía Region, known historically as a river port and gateway to nearby coastal and Mapuche communities.
  • E. Lanín
    Lanín is a prominent stratovolcano in the southern Andes, straddling the border between Argentina and Chile and known for its conical shape and popular mountaineering routes.
  • 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: Montt
Triple: [Manuel Montt, familyName, Montt]
Generated description
Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montt
Target entity description: Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
  • A. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • B. Balmaceda
    Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
  • C. Valdivia
    Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • D. Carahue
    Carahue is a Chilean town and municipality located in the Cautín Province of the Araucanía Region, known historically as a river port and gateway to nearby coastal and Mapuche communities.
  • E. Lanín
    Lanín is a prominent stratovolcano in the southern Andes, straddling the border between Argentina and Chile and known for its conical shape and popular mountaineering routes.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfdffc48190a93ecb6115b2db33 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533912bf881909e5e5e9e4245edbf completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b534343a4081909495add7f524cbd2 completed March 14, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69b534931f188190a9428f1b81e524a4 completed March 14, 2026, 10:12 a.m.
Created at: March 9, 2026, 3:24 p.m.