Triple

T7291150
Position Surface form Disambiguated ID Type / Status
Subject William Pinkney E164394 entity
Predicate familyName P18 FINISHED
Object Pinkney
Pinkney is a surname of English origin borne by various notable individuals, including American statesman and diplomat William Pinkney.
 E653161 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: Pinkney | Statement: [William Pinkney, familyName, Pinkney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinkney
Context triple: [William Pinkney, familyName, Pinkney]
  • A. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • B. Kizzy
    Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
  • C. Prissy
    Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
  • D. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • E. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • 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: Pinkney
Triple: [William Pinkney, familyName, Pinkney]
Generated description
Pinkney is a surname of English origin borne by various notable individuals, including American statesman and diplomat William Pinkney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinkney
Target entity description: Pinkney is a surname of English origin borne by various notable individuals, including American statesman and diplomat William Pinkney.
  • A. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • B. Kizzy
    Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
  • C. Prissy
    Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
  • D. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • E. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6e8f3881908628b3d41aad70c6 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4a31608190ba465e22e7a81782 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbf65fb08190ae8a9c4e57d42e97 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6af4b08190be165856d216f2ae completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 3 p.m.