Triple

T14936216
Position Surface form Disambiguated ID Type / Status
Subject Sir Fletcher Norton E372399 entity
Predicate givenName P17 FINISHED
Object Fletcher E438409 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: Fletcher | Statement: [Sir Fletcher Norton, givenName, Fletcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fletcher
Context triple: [Sir Fletcher Norton, givenName, Fletcher]
  • A. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • B. Morison
    Morison is a surname most notably associated with Samuel Eliot Morison, the Pulitzer Prize–winning American historian and naval officer.
  • C. Marina Jack
    Marina Jack is a popular waterfront dining and marina complex in downtown Sarasota, Florida, known for its boat docks, seafood restaurant, and scenic views of Sarasota Bay.
  • D. Anson chosen
    Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
  • E. Anson
    Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8e9c0c81909cfb1e02987527c0 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.