Triple

T11253279
Position Surface form Disambiguated ID Type / Status
Subject Board of Longitude E266373 entity
Predicate notableAssociatedPerson P1481 FINISHED
Object Charles Green E219331 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: Charles Green | Statement: [Board of Longitude, notableAssociatedPerson, Charles Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Green
Context triple: [Board of Longitude, notableAssociatedPerson, Charles Green]
  • A. Charles Green chosen
    Charles Green was an 18th-century English astronomer who sailed with Captain James Cook to observe the 1769 transit of Venus and conduct astronomical measurements.
  • B. Charles Green
    Charles Green was an Anglican clergyman who became a prominent Welsh bishop and later Archbishop of Wales in the mid-20th century.
  • C. Charles Green
    Charles Green was a British illustrator known for his detailed work in Victorian periodicals and book illustrations.
  • D. Charles Green
    Charles Green was the cook on Sir Ernest Shackleton’s Imperial Trans-Antarctic Expedition, known for maintaining the crew’s morale under extreme Antarctic conditions.
  • E. Charles Foster
    Charles Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc941d34819099ae30713bdd03e5 completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.