Triple

T20011311
Position Surface form Disambiguated ID Type / Status
Subject Swan Point Cemetery E494594 entity
Predicate burialPlaceOf P196 FINISHED
Object Henry Lippitt 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: Henry Lippitt | Statement: [Swan Point Cemetery, burialPlaceOf, Henry Lippitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Lippitt
Context triple: [Swan Point Cemetery, burialPlaceOf, Henry Lippitt]
  • A. Henry Lippitt chosen
    Henry Lippitt was a 19th-century American industrialist and politician who served as Governor of Rhode Island from 1875 to 1877.
  • B. Henry Davison
    Henry Davison was an American banker and humanitarian who played a key role in organizing international Red Cross relief efforts during and after World War I.
  • C. George Davenport
    George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
  • D. George Ward
    George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
  • E. George Ward
    George Ward is known as the stepfather of former professional boxer Dicky Eklund, who was portrayed in the film "The Fighter."
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662362df48190abf16129eea39985 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:33 p.m.