Triple

T3445928
Position Surface form Disambiguated ID Type / Status
Subject Samuel Phillips Jr. E72677 entity
Predicate placeOfDeath P21 FINISHED
Object Andover, Massachusetts E203201 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: Andover, Massachusetts | Statement: [Samuel Phillips Jr., placeOfDeath, Andover, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover, Massachusetts
Context triple: [Samuel Phillips Jr., placeOfDeath, Andover, Massachusetts]
  • A. Andover
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • B. Andover chosen
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • C. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • D. Medford, Massachusetts
    Medford, Massachusetts is a historic city just northwest of Boston, known for being the home of Tufts University and for its role in early American colonial and industrial history.
  • E. Newton, Massachusetts
    Newton, Massachusetts is a suburban city west of Boston known for its affluent residential neighborhoods, strong public schools, and village-style layout without a traditional downtown.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2cc3048190ab1385699387df8d completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f580e2488190bce70398502e11d4 completed March 14, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:16 p.m.