Triple

T5648505
Position Surface form Disambiguated ID Type / Status
Subject Michael Kelly E124442 entity
Predicate name P16 FINISHED
Object Michael Kelly unclear NED1 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: Michael Kelly | Statement: [Michael Kelly, name, Michael Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kelly
Context triple: [Michael Kelly, name, Michael Kelly]
  • A. Michael Kelly
    Michael Kelly is an American actor best known for his role as Doug Stamper on the political drama series "House of Cards."
  • B. Michael Kelly
    Michael Kelly is an American sports executive best known for serving as the athletic director at the University of South Florida.
  • C. Michael Kelly
    Michael Kelly is a film editor best known for his work on the animated feature "The Rescuers Down Under."
  • D. Michael Walsh
    Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
  • E. Patrick J. Sullivan
    Patrick J. Sullivan was a notable individual interred at Mount Olivet Cemetery in Washington, D.C., recognized for his significance to the local community or broader historical record.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d1534c8190ac4828e44300fb91 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d8cea4481908fccb8ed102b18a1 completed March 22, 2026, 8:14 p.m.
Created at: March 22, 2026, 3:42 p.m.