Triple

T6872864
Position Surface form Disambiguated ID Type / Status
Subject Daniel A. D’Aniello E158594 entity
Predicate employer P7 FINISHED
Object The Carlyle Group E20101 NE FINISHED

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: The Carlyle Group | Statement: [Daniel A. D’Aniello, employer, The Carlyle Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Carlyle Group
Context triple: [Daniel A. D’Aniello, employer, The Carlyle Group]
  • A. The Carlyle Group chosen
    The Carlyle Group is a major global private equity and investment firm known for managing large alternative asset portfolios and employing prominent political and financial figures.
  • B. Blackstone Group
    Blackstone Group is a leading global alternative investment firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • C. Warburg Pincus
    Warburg Pincus is a global private equity firm known for growth investing across a wide range of industries and regions.
  • D. Bain Capital
    Bain Capital is a prominent private investment firm based in Boston, known for its leveraged buyouts, private equity, and alternative asset management activities worldwide.
  • E. Permira
    Permira is a global private equity firm that invests in and acquires businesses across sectors such as technology, consumer, healthcare, and financial services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c73ea08190b6bb1463e7ead47b completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c0689081908d37d1530ed0f6a0 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.