Triple

T2529305
Position Surface form Disambiguated ID Type / Status
Subject Edward Tilley E56116 entity
Predicate traveledWith P17836 FINISHED
Object Henry Samson
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
E277503 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: Henry Samson | Statement: [Edward Tilley, traveledWith, Henry Samson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Samson
Context triple: [Edward Tilley, traveledWith, Henry Samson]
  • A. Henry Pilger
    Henry Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily available.
  • B. Thomas Sampson
    Thomas Sampson was a 16th-century English Puritan theologian and churchman known for his role in the early English Reformation and involvement with the Geneva Bible.
  • C. Henry Willis
    Henry Willis was a businessman best known for establishing Willis Group Holdings, a major global insurance brokerage and risk management firm.
  • D. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • E. Charles Rumney Samson
    Charles Rumney Samson was a pioneering British naval aviator and Royal Navy officer known for early shipboard aviation experiments and combat flying during World War I.
  • 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: Henry Samson
Triple: [Edward Tilley, traveledWith, Henry Samson]
Generated description
Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry Samson
Target entity description: Henry Samson was a young passenger on the Mayflower who later became a settler in Plymouth Colony in early 17th-century New England.
  • A. Henry Pilger
    Henry Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not readily available.
  • B. Thomas Sampson
    Thomas Sampson was a 16th-century English Puritan theologian and churchman known for his role in the early English Reformation and involvement with the Geneva Bible.
  • C. Henry Willis
    Henry Willis was a businessman best known for establishing Willis Group Holdings, a major global insurance brokerage and risk management firm.
  • D. Samuel Barnes
    Samuel Barnes is an author known for his work with the Juicy brand.
  • E. Charles Rumney Samson
    Charles Rumney Samson was a pioneering British naval aviator and Royal Navy officer known for early shipboard aviation experiments and combat flying during World War I.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf3c790819089b0d202e25e6ede completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5f0609dc8190a4b99eb2668cd1ff completed March 10, 2026, midnight
NED2 Entity disambiguation (via description) batch_69af5f55643881909776d9334df63c1d completed March 10, 2026, 12:01 a.m.
Created at: March 6, 2026, 9:46 p.m.