Triple

T12810787
Position Surface form Disambiguated ID Type / Status
Subject Sunny Hostin E306264 entity
Predicate givenName P17 FINISHED
Object Asunción
Asunción is the birth name of American lawyer, journalist, and television host Sunny Hostin.
 E1005040 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: Asunción | Statement: [Sunny Hostin, givenName, Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asunción
Context triple: [Sunny Hostin, givenName, Asunción]
  • A. Asunción
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic center.
  • B. Asuncion
    Asuncion is a stage play written by actor and playwright Jesse Eisenberg that explores themes of privilege, prejudice, and cultural misunderstanding.
  • C. Asuncion
    Asuncion is a rural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • D. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • E. Ciudad del Este
    Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
  • 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: Asunción
Triple: [Sunny Hostin, givenName, Asunción]
Generated description
Asunción is the birth name of American lawyer, journalist, and television host Sunny Hostin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asunción
Target entity description: Asunción is the birth name of American lawyer, journalist, and television host Sunny Hostin.
  • A. Asunción
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic center.
  • B. Asuncion
    Asuncion is a stage play written by actor and playwright Jesse Eisenberg that explores themes of privilege, prejudice, and cultural misunderstanding.
  • C. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • D. Asuncion
    Asuncion is a rural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • E. Ciudad del Este
    Ciudad del Este is a major commercial city in eastern Paraguay, known as a busy border trading hub near the tri-border area with Brazil and Argentina.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec89eb081909915af6e2216e0a2 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f68fb6790881908c1d6f53b54906a2 completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f690c0bd208190bd1f04a9640ad1ce completed May 3, 2026, 12:03 a.m.
Created at: April 9, 2026, 5:31 p.m.