Triple

T9999300
Position Surface form Disambiguated ID Type / Status
Subject Kris Paronto E197282 entity
Predicate familyName P18 FINISHED
Object Paronto
Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
 E835770 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: Paronto | Statement: [Kris Paronto, familyName, Paronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paronto
Context triple: [Kris Paronto, familyName, Paronto]
  • A. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • B. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • C. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • D. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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: Paronto
Triple: [Kris Paronto, familyName, Paronto]
Generated description
Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paronto
Target entity description: Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • A. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • B. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • C. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • D. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • E. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a36aadc81909978b71bdb3a6654 completed April 5, 2026, 1:57 p.m.
NEDg Description generation batch_69d26be111588190b9517bc181b0f779 completed April 5, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:51 p.m.