Triple

T10120840
Position Surface form Disambiguated ID Type / Status
Subject Pasco County, Florida E223282 entity
Predicate namedAfter P63 FINISHED
Object Samuel Pasco
Samuel Pasco was a 19th-century American politician from Florida who served as a U.S. Senator and for whom Pasco County is named.
E842509 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: Samuel Pasco | Statement: [Pasco County, Florida, namedAfter, Samuel Pasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Pasco
Context triple: [Pasco County, Florida, namedAfter, Samuel Pasco]
  • A. William Pritchard
    William Pritchard is a Canadian municipal politician known for serving as the mayor of Burnaby, British Columbia.
  • B. Joseph Toal
    Joseph Toal is a Scottish Roman Catholic prelate who serves as the Bishop of Motherwell.
  • C. Charles Fergusson
    Charles Fergusson was a senior British Army officer and general who played a prominent command role on the Western Front during World War I.
  • D. James Cunningham
    James Cunningham is a personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • E. Benjamin Ingham
    Benjamin Ingham was an 18th-century English Methodist evangelist and missionary associated with early Methodist revival movements alongside figures like John and Charles Wesley.
  • 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: Samuel Pasco
Triple: [Pasco County, Florida, namedAfter, Samuel Pasco]
Generated description
Samuel Pasco was a 19th-century American politician from Florida who served as a U.S. Senator and for whom Pasco County is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Pasco
Target entity description: Samuel Pasco was a 19th-century American politician from Florida who served as a U.S. Senator and for whom Pasco County is named.
  • A. William Pritchard
    William Pritchard is a Canadian municipal politician known for serving as the mayor of Burnaby, British Columbia.
  • B. Joseph Toal
    Joseph Toal is a Scottish Roman Catholic prelate who serves as the Bishop of Motherwell.
  • C. Charles Fergusson
    Charles Fergusson was a senior British Army officer and general who played a prominent command role on the Western Front during World War I.
  • D. James Cunningham
    James Cunningham is a personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • E. Benjamin Ingham
    Benjamin Ingham was an 18th-century English Methodist evangelist and missionary associated with early Methodist revival movements alongside figures like John and Charles Wesley.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd266b18c8190b35fe637c912e756 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:04 p.m.