Triple

T1238296
Position Surface form Disambiguated ID Type / Status
Subject Sidney Sussex College, Cambridge E26597 entity
Predicate commonAbbreviation P8075 FINISHED
Object Sidney E41612 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: Sidney | Statement: [Sidney Sussex College, Cambridge, commonAbbreviation, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney
Context triple: [Sidney Sussex College, Cambridge, commonAbbreviation, Sidney]
  • A. Sidney chosen
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • B. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • C. Milton
    Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
  • D. Milton
    Milton is a town located within Saratoga County in the state of New York, United States.
  • E. Milton
    Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf406b988190a12aa26bbcb88d6a completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7755fc819089e23eca81583885 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:47 p.m.