Triple

T16870291
Position Surface form Disambiguated ID Type / Status
Subject Hanna Holborn Gray E421148 entity
Predicate notableStudent P4838 FINISHED
Object Anthony Grafton E582708 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: Anthony Grafton | Statement: [Hanna Holborn Gray, notableStudent, Anthony Grafton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Grafton
Context triple: [Hanna Holborn Gray, notableStudent, Anthony Grafton]
  • A. Peter Burke
    Peter Burke is a principled and sharp FBI agent in the TV series "White Collar," known for his partnership with con artist Neal Caffrey to solve white-collar crimes.
  • B. Geoffrey Lloyd
    Geoffrey Lloyd was a British Conservative politician who served in several ministerial roles in the mid-20th century, particularly in areas related to energy and industry.
  • C. Michael Kammen chosen
    Michael Kammen was an American historian renowned for his work on U.S. cultural history and collective memory, and a Pulitzer Prize-winning author.
  • D. Natalie Zemon Davis
    Natalie Zemon Davis is a renowned historian of early modern Europe, celebrated for her innovative social and cultural histories such as "The Return of Martin Guerre."
  • E. Robert Homans
    Robert Homans was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b50b85c08190b35d1c45ee0e9675 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2aeb9908190964a9403402186fb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:29 a.m.