Triple

T11745772
Position Surface form Disambiguated ID Type / Status
Subject Steven J. Green School of International and Public Affairs E279275 entity
Predicate namedAfter P63 FINISHED
Object Steven J. Green E279275 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: Steven J. Green | Statement: [Steven J. Green School of International and Public Affairs, namedAfter, Steven J. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven J. Green
Context triple: [Steven J. Green School of International and Public Affairs, namedAfter, Steven J. Green]
  • A. Steven J. Green chosen
    Steven J. Green is an American businessman, philanthropist, and former U.S. ambassador whose support for education and international affairs led to a major public policy school being named in his honor.
  • B. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • C. Daniel Green
    Daniel Green is a music producer known for his work on the track "Paradise."
  • D. David M. Green
    David M. Green is a distinguished figure in the field of acoustics recognized for his significant contributions with the prestigious ASA Gold Medal.
  • E. Dan Greenburg
    Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.