Triple

T22185795
Position Surface form Disambiguated ID Type / Status
Subject Poor's Publishing E548292 entity
Predicate successor P78 FINISHED
Object Standard & Poor's 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: Standard & Poor's | Statement: [Poor's Publishing, successor, Standard & Poor's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard & Poor's
Context triple: [Poor's Publishing, successor, Standard & Poor's]
  • A. Standard & Poor's chosen
    Standard & Poor's is a major American financial services company best known for its stock market indices and credit ratings.
  • B. Moody's
    Moody's is a leading global credit rating agency and financial services company known for assessing the creditworthiness of governments, corporations, and financial instruments.
  • C. Fitch Ratings
    Fitch Ratings is a major global credit rating agency that evaluates the creditworthiness of governments, corporations, and financial instruments worldwide.
  • D. Fitch
    Fitch is a surname of English origin borne by various notable individuals across fields such as finance, academia, and the arts.
  • E. Kroll Bond Rating Agency
    Kroll Bond Rating Agency is a U.S.-based credit rating agency known for providing independent ratings and research on structured finance, corporate, and public finance securities.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa823888190829368de6db4aa91 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.