Triple

T4306166
Position Surface form Disambiguated ID Type / Status
Subject Burt Lancaster E99959 entity
Predicate familyName P18 FINISHED
Object Lancaster
Lancaster is an English surname most famously associated with the American actor Burt Lancaster.
 E428851 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 is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
  • C. 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.
  • D. Lancaster
    Lancaster was the original settlement that later developed into the city of Lincoln, the capital of Nebraska.
  • E. Lancaster
    Lancaster is a historic city in south-central Pennsylvania known for its rich colonial heritage and proximity to Amish country.
  • 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 an English surname most famously associated with the American actor Burt Lancaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lancaster
Target entity description: Lancaster is an English surname most famously associated with the American actor Burt Lancaster.
  • A. 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.
  • B. Lancaster
    Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • C. Lancaster
    Lancaster is a historic city in south-central Pennsylvania known for its rich colonial heritage and proximity to Amish country.
  • D. 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.
  • E. 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.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7dcd4948190b996d215bcdd223d completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c863be608190985357d9bd13eb2d completed March 14, 2026, 8:43 p.m.
Created at: March 12, 2026, 11:09 p.m.