Triple

T15756927
Position Surface form Disambiguated ID Type / Status
Subject Grace Paley E381990 entity
Predicate wasMarriedTo P33561 FINISHED
Object Robert Nichols E711958 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: Robert Nichols | Statement: [Grace Paley, wasMarriedTo, Robert Nichols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Nichols
Context triple: [Grace Paley, wasMarriedTo, Robert Nichols]
  • A. Robert Nichols chosen
    Robert Nichols is a relatively common personal name shared by multiple notable individuals across fields such as literature, politics, and the arts.
  • B. Charles A. Nichols
    Charles A. Nichols was an American animator and film director best known for his work at Disney and for directing the animated adaptation of "Charlotte's Web."
  • C. George Nichols
    George Nichols was a 19th-century American publisher known for issuing notable literary works, including influential satirical and poetic writings.
  • D. George Nichols
    George Nichols was an American actor and film director active during the silent film era.
  • E. Thomas Nickerson
    Thomas Nickerson is a historical American sailor from the whaleship Essex whose harrowing real-life experiences of shipwreck and survival inspired his portrayal in the book and film "In the Heart of the Sea."
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998397688190a77b6a7c5b542f7e completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:47 a.m.