Triple

T17606698
Position Surface form Disambiguated ID Type / Status
Subject Burt Lancaster E428851 entity
Predicate familyName P18 FINISHED
Object Lancaster
Lancaster is a city in northwestern England known for its historic castle and role as the county town of Lancashire.
E24581 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: Lancaster | Statement: [Burt Lancaster, familyName, Lancaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster
Context triple: [Burt Lancaster, familyName, Lancaster]
  • A. Lancaster
    The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
  • B. Lancaster
    Lancaster was the original settlement that later developed into the city of Lincoln, the capital of Nebraska.
  • C. Lancaster
    Lancaster was the original name of the city now known as Stockton in Missouri, a small Midwestern community in the United States.
  • D. Lancaster
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • E. Lancaster
    Lancaster is a small community in eastern Ontario, Canada, located near the Quebec border along the St. Lawrence River.
  • 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: Lancaster
Triple: [Burt Lancaster, familyName, Lancaster]
Generated description
Lancaster is a city in northwestern England known for its historic castle and role as the county town of Lancashire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lancaster
Target entity description: Lancaster is a city in northwestern England known for its historic castle and role as the county town of Lancashire.
  • A. Lancaster chosen
    Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • B. Lancaster
    Lancaster is a historic city in south-central Pennsylvania known for its rich colonial heritage and proximity to Amish country.
  • C. Lancaster
    Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • D. Lancaster
    Lancaster is a city in northern Los Angeles County, California, known for its location in the Antelope Valley of the Mojave Desert and its aerospace and renewable energy industries.
  • E. Lancaster
    Lancaster was the original name of the city now known as Stockton in Missouri, a small Midwestern community in the United States.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e8201678819094fc43c1fcde7203 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:51 a.m.