Triple

T7593719
Position Surface form Disambiguated ID Type / Status
Subject American Family Insurance E179802 entity
Predicate shortName P43 FINISHED
Object AmFam
AmFam is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products to individuals and businesses.
 E674712 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: AmFam | Statement: [American Family Insurance, shortName, AmFam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AmFam
Context triple: [American Family Insurance, shortName, AmFam]
  • A. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • B. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • C. FAMS
    FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. AFN
    AFN is the three-letter ISO 4217 currency code representing the Afghan afghani, the official currency of Afghanistan.
  • 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: AmFam
Triple: [American Family Insurance, shortName, AmFam]
Generated description
AmFam is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products to individuals and businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AmFam
Target entity description: AmFam is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products to individuals and businesses.
  • A. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • B. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • C. FAMS
    FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
  • D. AFN
    AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
  • E. AFN
    AFN is the three-letter ISO 4217 currency code representing the Afghan afghani, the official currency of Afghanistan.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bab3a08190a2c36b2c72a1de25 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.