Triple

T2348136
Position Surface form Disambiguated ID Type / Status
Subject Rufus Putnam E45179 entity
Predicate familyName P18 FINISHED
Object Putnam E45179 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: Putnam | Statement: [Rufus Putnam, familyName, Putnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putnam
Context triple: [Rufus Putnam, familyName, Putnam]
  • A. Putnam
    Putnam is a long-established American book publishing imprint known for releasing a wide range of bestselling fiction and nonfiction titles.
  • B. Putnam chosen
    Putnam is a prominent New England family name historically associated with several key figures in the Salem witch trials and early American colonial life.
  • C. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • D. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • E. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6cae18881908c2f5bc7ffd8c8c1 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17726e54819094f1419b3bbe2a2a completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:52 p.m.