Triple

T8027210
Position Surface form Disambiguated ID Type / Status
Subject Lawton Chiles E186884 entity
Predicate familyName P18 FINISHED
Object Chiles
Chiles is the surname of Lawton Chiles, a prominent American politician who served as a U.S. Senator and Governor of Florida.
 E706179 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: Chiles | Statement: [Lawton Chiles, familyName, Chiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chiles
Context triple: [Lawton Chiles, familyName, Chiles]
  • A. Cholula
    Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
  • B. Chile Chico
    Chile Chico is a small town in southern Chile’s Aysén Region, known for its mild microclimate, fruit production, and location on the southern shore of General Carrera Lake near the Argentine border.
  • C. Piñas
    Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
  • D. Topolobampo
    Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
  • E. Tabasco
    Tabasco is a southeastern Mexican state along the Gulf of Mexico, known for its tropical climate, petroleum industry, and rich wetlands.
  • 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: Chiles
Triple: [Lawton Chiles, familyName, Chiles]
Generated description
Chiles is the surname of Lawton Chiles, a prominent American politician who served as a U.S. Senator and Governor of Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chiles
Target entity description: Chiles is the surname of Lawton Chiles, a prominent American politician who served as a U.S. Senator and Governor of Florida.
  • A. Cholula
    Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
  • B. Chile Chico
    Chile Chico is a small town in southern Chile’s Aysén Region, known for its mild microclimate, fruit production, and location on the southern shore of General Carrera Lake near the Argentine border.
  • C. Piñas
    Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
  • D. Topolobampo
    Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
  • E. Tabasco
    Tabasco is a southeastern Mexican state along the Gulf of Mexico, known for its tropical climate, petroleum industry, and rich wetlands.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eccacb0819082f7c3d6fd48e3c4 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56da597c8190931091482d60b0a6 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58aac4288190a2be4691fc740171 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbf8278819085ff32a0494d544e completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:21 p.m.