Triple

T22592015
Position Surface form Disambiguated ID Type / Status
Subject Affirm Holdings, Inc. E564973 entity
Predicate tickerSymbol P1447 FINISHED
Object AFRM NE NERFINISHED

How this triple was built (2 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: AFRM | Statement: [Affirm Holdings, Inc., tickerSymbol, AFRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFRM
Context triple: [Affirm Holdings, Inc., tickerSymbol, AFRM]
  • A. AFRM chosen
    AFRM is the stock ticker symbol for Affirm Holdings, Inc., a financial technology company known for its buy-now-pay-later payment solutions.
  • B. AFRF
    AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
  • C. AFFRM
    AFFRM (African-American Film Festival Releasing Movement) was a distribution collective dedicated to releasing and promoting independent films by and about Black people in the United States.
  • D. AFEM
    The Armed Forces Expeditionary Medal (AFEM) is a United States military decoration awarded to service members who participate in designated U.S. military operations, campaigns, or expeditions.
  • E. AFR
    AFR is the USAID Bureau for Africa, the division responsible for planning and managing U.S. development and humanitarian assistance programs across the African continent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16162c2cc8190a506776ac52356d7 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.