Triple

T1513728
Position Surface form Disambiguated ID Type / Status
Subject Oliver Leese E32071 entity
Predicate familyName P18 FINISHED
Object Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
E172257 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: Leese | Statement: [Oliver Leese, familyName, Leese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leese
Context triple: [Oliver Leese, familyName, Leese]
  • A. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • B. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • C. Leach
    Leach is the birth surname of classic Hollywood actor Cary Grant, who was born Archibald Alexander Leach.
  • D. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • E. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • 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: Leese
Triple: [Oliver Leese, familyName, Leese]
Generated description
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leese
Target entity description: Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
  • A. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • B. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • C. Leach
    Leach is the birth surname of classic Hollywood actor Cary Grant, who was born Archibald Alexander Leach.
  • D. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • E. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad23409fd481909834aaf0dc4641f6 completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23b8d570819099b953c7a60e9445 completed March 8, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad248193ec8190b0c08ef979661af0 completed March 8, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:26 p.m.