Triple

T1540570
Position Surface form Disambiguated ID Type / Status
Subject Pierce Butler E32855 entity
Predicate familyName P18 FINISHED
Object Butler
Butler is a common English and Irish surname historically associated with nobility and service roles, borne by numerous notable figures in politics, law, and the arts.
 E176168 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: Butler | Statement: [Pierce Butler, familyName, Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Butler
Context triple: [Pierce Butler, familyName, Butler]
  • A. Butler
    Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
  • B. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • C. Butler Blue
    Butler Blue is the live English bulldog that serves as the beloved mascot of Butler University and its athletic teams.
  • D. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • E. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • 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: Butler
Triple: [Pierce Butler, familyName, Butler]
Generated description
Butler is a common English and Irish surname historically associated with nobility and service roles, borne by numerous notable figures in politics, law, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Butler
Target entity description: Butler is a common English and Irish surname historically associated with nobility and service roles, borne by numerous notable figures in politics, law, and the arts.
  • A. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • B. Butler
    Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
  • C. Butler Blue
    Butler Blue is the live English bulldog that serves as the beloved mascot of Butler University and its athletic teams.
  • D. Baldwin
    Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
  • E. Harvey
    Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30997d408190916f16d31bcc35b4 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3117b49881908916e7137f8b655c completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad3179b0148190b69b16b5d2051ece completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.