Triple

T23431091
Position Surface form Disambiguated ID Type / Status
Subject Albert Charles Seward E563330 entity
Predicate placeOfDeath P21 FINISHED
Object Cambridge, England NE NERFINISHED

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: Cambridge, England | Statement: [Albert Charles Seward, placeOfDeath, Cambridge, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge, England
Context triple: [Albert Charles Seward, placeOfDeath, Cambridge, England]
  • A. Cambridge, England chosen
    Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
  • B. Cambridge
    Cambridge is a prominent city in the Greater Boston area best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • C. Cambridge
    Cambridge is a historic English city renowned for its prestigious university, medieval architecture, and picturesque riverside setting.
  • D. Cambridge
    Cambridge is a historic English city renowned for its prestigious university, rich academic heritage, and picturesque riverside scenery.
  • E. Cambridge
    Cambridge is a historic English city renowned for the University of Cambridge, its centuries-old colleges, and its role as a major center of education, research, and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.