Triple

T14847059
Position Surface form Disambiguated ID Type / Status
Subject Joseph Losey E349125 entity
Predicate familyName P18 FINISHED
Object Losey
Losey is the surname of American-born film director Joseph Losey, known for his influential work in European cinema after his exile during the Hollywood blacklist era.
 E1123991 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: Losey | Statement: [Joseph Losey, familyName, Losey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Losey
Context triple: [Joseph Losey, familyName, Losey]
  • A. Losser
    Losser is a municipality in the eastern Netherlands, located in the province of Overijssel near the German border.
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Harlin
    Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
  • D. Stiller
    Stiller is a 1954 novel by Swiss author Max Frisch that explores themes of identity, self-deception, and the impossibility of truly knowing oneself.
  • E. Minghella
    Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
  • 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: Losey
Triple: [Joseph Losey, familyName, Losey]
Generated description
Losey is the surname of American-born film director Joseph Losey, known for his influential work in European cinema after his exile during the Hollywood blacklist era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Losey
Target entity description: Losey is the surname of American-born film director Joseph Losey, known for his influential work in European cinema after his exile during the Hollywood blacklist era.
  • A. Losser
    Losser is a municipality in the eastern Netherlands, located in the province of Overijssel near the German border.
  • B. Kloves
    Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
  • C. Harlin
    Harlin is a small rural town in Queensland, Australia, situated within the Somerset Region and known for its quiet countryside setting.
  • D. Stiller
    Stiller is a 1954 novel by Swiss author Max Frisch that explores themes of identity, self-deception, and the impossibility of truly knowing oneself.
  • E. Minghella
    Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65010190819083ec051eb5d82839 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66bae148819080b3d6d3526a0dbb completed May 8, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:53 a.m.