Triple

T8724082
Position Surface form Disambiguated ID Type / Status
Subject Earl of Shrewsbury E207085 entity
Predicate subsidiaryTitle P1916 FINISHED
Object Earl Talbot
Earl Talbot is a British peerage title historically associated with the influential Talbot family and held as a subsidiary honor by the Earls of Shrewsbury.
 E752983 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: Earl Talbot | Statement: [Earl of Shrewsbury, subsidiaryTitle, Earl Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Earl Talbot
Context triple: [Earl of Shrewsbury, subsidiaryTitle, Earl Talbot]
  • A. Roy Winsor
    Roy Winsor was an American television writer and producer best known as a pioneering creator of long-running daytime soap operas.
  • B. Walter Brewster
    Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
  • C. Raymond Hatton
    Raymond Hatton was an American character actor and silent film star known for his prolific career in early Hollywood cinema, often appearing in Westerns and comedies.
  • D. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • E. Tony Bancroft
    Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
  • 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: Earl Talbot
Triple: [Earl of Shrewsbury, subsidiaryTitle, Earl Talbot]
Generated description
Earl Talbot is a British peerage title historically associated with the influential Talbot family and held as a subsidiary honor by the Earls of Shrewsbury.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Earl Talbot
Target entity description: Earl Talbot is a British peerage title historically associated with the influential Talbot family and held as a subsidiary honor by the Earls of Shrewsbury.
  • A. Roy Winsor
    Roy Winsor was an American television writer and producer best known as a pioneering creator of long-running daytime soap operas.
  • B. Walter Brewster
    Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
  • C. Raymond Hatton
    Raymond Hatton was an American character actor and silent film star known for his prolific career in early Hollywood cinema, often appearing in Westerns and comedies.
  • D. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • E. Tony Bancroft
    Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0791208190b043332247372d7b completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.