Triple

T10415599
Position Surface form Disambiguated ID Type / Status
Subject Apollo Global Management E245505 entity
Predicate foundedBy P104 FINISHED
Object Marc Rowan E308849 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: Marc Rowan | Statement: [Apollo Global Management, foundedBy, Marc Rowan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Rowan
Context triple: [Apollo Global Management, foundedBy, Marc Rowan]
  • A. Marc Rowan chosen
    Marc Rowan is an American billionaire investor and co-founder of Apollo Global Management, one of the world’s leading alternative asset management firms.
  • B. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • C. Craig Rowley
    Craig Rowley is a New Zealand local government leader who serves as the mayor of the rural South Island town of Waimate.
  • D. Matt Rogers
    Matt Rogers is an American entrepreneur and engineer best known as the co-founder of Nest Labs, the smart home technology company behind the Nest Thermostat.
  • E. Stephen Duggan
    Stephen Duggan was an American educator and founder of the Institute of International Education, known for promoting academic freedom and international exchange in higher education.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69de54d83e44819097abf6714bd48680 completed April 14, 2026, 2:53 p.m.
Created at: April 6, 2026, 12:10 p.m.