Triple

T8482970
Position Surface form Disambiguated ID Type / Status
Subject Rainbow DQN E200562 entity
Predicate proposedBy P32 FINISHED
Object Matteo Hessel E441098 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: Matteo Hessel | Statement: [Rainbow DQN, proposedBy, Matteo Hessel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteo Hessel
Context triple: [Rainbow DQN, proposedBy, Matteo Hessel]
  • A. Matteo Hessel chosen
    Matteo Hessel is a machine learning researcher known for his contributions to deep reinforcement learning, including work on the Dueling DQN architecture.
  • B. Matthias Jabs
    Matthias Jabs is a German rock guitarist best known as the longtime lead guitarist of the band Scorpions, contributing to their signature hard rock sound since the late 1970s.
  • C. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • D. Paolo Pellegrin
    Paolo Pellegrin is an acclaimed Italian photojournalist renowned for his powerful black-and-white images documenting conflict zones and humanitarian crises worldwide.
  • E. Andrea Molesini
    Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53845e881909eeb32863c7aa942 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.