Triple

T781205
Position Surface form Disambiguated ID Type / Status
Subject William Tilden Blodgett E16499 entity
Predicate middleName P143 FINISHED
Object Tilden
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
 E96246 NE FINISHED

How this triple was built (4 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: Tilden | Statement: [William Tilden Blodgett, middleName, Tilden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tilden
Context triple: [William Tilden Blodgett, middleName, Tilden]
  • A. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • B. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • C. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • D. Davis
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • E. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tilden
Triple: [William Tilden Blodgett, middleName, Tilden]
Generated description
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tilden
Target entity description: Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
  • A. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • B. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • C. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • D. Davis
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • E. Kuvempu
    Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
  • F. None of above. chosen

Provenance (5 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d7c2d488190a0c1802eb7c7491d completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a7883f3d98819082b01a9c57fe230c completed March 4, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_69a78875f424819090d6e927864d39e0 completed March 4, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:37 p.m.