Triple

T512941
Position Surface form Disambiguated ID Type / Status
Subject Cordell Hull E10645 entity
Predicate familyName P18 FINISHED
Object Hull
Hull is a common English surname borne by various notable individuals across politics, sports, and the arts.
E18246 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: Hull | Statement: [Cordell Hull, familyName, Hull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hull
Context triple: [Cordell Hull, familyName, Hull]
  • A. Hull
    Hull, formally known as Kingston upon Hull, is a port city in East Yorkshire, England, noted for its maritime heritage and role as a major North Sea trading hub.
  • B. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • C. Southampton
    Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
  • D. King's Lynn
    King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
  • E. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • 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: Hull
Triple: [Cordell Hull, familyName, Hull]
Generated description
Hull is a common English surname borne by various notable individuals across politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hull
Target entity description: Hull is a common English surname borne by various notable individuals across politics, sports, and the arts.
  • A. Hull chosen
    Hull, formally known as Kingston upon Hull, is a port city in East Yorkshire, England, noted for its maritime heritage and role as a major North Sea trading hub.
  • B. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • C. Southampton
    Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
  • D. King's Lynn
    King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
  • E. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • F. None of above.

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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a577891a148190ae1364191f7f63bb completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57a2852c881909f5623847e2fd85d completed March 2, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69a57a82f3248190b3eced48edf7a4da completed March 2, 2026, 11:54 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.