Triple

T7421050
Position Surface form Disambiguated ID Type / Status
Subject Steven A. Coons Award E171245 entity
Predicate hasRecipient P108 FINISHED
Object Barbara J. Grosz E437500 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: Barbara J. Grosz | Statement: [Steven A. Coons Award, hasRecipient, Barbara J. Grosz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara J. Grosz
Context triple: [Steven A. Coons Award, hasRecipient, Barbara J. Grosz]
  • A. Barbara Grosz chosen
    Barbara Grosz is a pioneering computer scientist known for her foundational work in natural language processing, multi-agent systems, and contributions to the field of artificial intelligence research and ethics.
  • B. Margo Seltzer
    Margo Seltzer is a prominent American computer scientist known for her influential work in file systems, databases, and performance analysis, and for her leadership in both academia and industry.
  • C. Patrick J. Hayes
    Patrick J. Hayes was an American cardinal of the Roman Catholic Church who served as Archbishop of New York in the early 20th century.
  • D. Lenore Blum
    Lenore Blum is an American mathematician and computer scientist known for her work in complexity theory, real computation, and advocacy for women in STEM.
  • E. Terry Winograd
    Terry Winograd is a pioneering computer scientist known for his influential work in artificial intelligence, natural language understanding, and human-computer interaction.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.