Triple

T7269898
Position Surface form Disambiguated ID Type / Status
Subject Melancton Smith E161073 entity
Predicate givenName P17 FINISHED
Object Melancton
Melancton is a masculine given name most notably borne by Melancton Smith, an American lawyer and prominent Anti-Federalist politician of the late 18th century.
 E653013 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: Melancton | Statement: [Melancton Smith, givenName, Melancton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melancton
Context triple: [Melancton Smith, givenName, Melancton]
  • A. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • B. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • C. Gustavus
    Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • 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: Melancton
Triple: [Melancton Smith, givenName, Melancton]
Generated description
Melancton is a masculine given name most notably borne by Melancton Smith, an American lawyer and prominent Anti-Federalist politician of the late 18th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melancton
Target entity description: Melancton is a masculine given name most notably borne by Melancton Smith, an American lawyer and prominent Anti-Federalist politician of the late 18th century.
  • A. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • B. Gooderich
    Gooderich is an alternative spelling of the surname Goodrich, which is associated with various people, places, and companies of English origin.
  • C. Gustavus
    Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae9f8bc8190a8c31cc29926919c completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db21e5e88190afcff211a7794de7 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbd350a08190aa34ada9ba8d39ce completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:58 p.m.