Triple

T8449360
Position Surface form Disambiguated ID Type / Status
Subject Made in Britain E199762 entity
Predicate writer P1360 FINISHED
Object David Leland
David Leland is a British screenwriter and director known for his gritty social dramas and collaborations with filmmaker Alan Clarke.
 E751617 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: David Leland | Statement: [Made in Britain, writer, David Leland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Leland
Context triple: [Made in Britain, writer, David Leland]
  • A. Matthew Landon
    Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
  • B. Glenn Leonard
    Glenn Leonard is an American R&B and soul singer best known as a former lead tenor of the legendary Motown group The Temptations during the 1970s and early 1980s.
  • C. Gene Nelson
    Gene Nelson was an American actor, dancer, and choreographer best known for his energetic musical performances in classic Hollywood films of the 1950s.
  • D. Leland Palmer
    Leland Palmer is an American actress, singer, and dancer best known for her work in musical theatre and film during the 1960s and 1970s.
  • E. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • 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: David Leland
Triple: [Made in Britain, writer, David Leland]
Generated description
David Leland is a British screenwriter and director known for his gritty social dramas and collaborations with filmmaker Alan Clarke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Leland
Target entity description: David Leland is a British screenwriter and director known for his gritty social dramas and collaborations with filmmaker Alan Clarke.
  • A. Matthew Landon
    Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
  • B. Glenn Leonard
    Glenn Leonard is an American R&B and soul singer best known as a former lead tenor of the legendary Motown group The Temptations during the 1970s and early 1980s.
  • C. Gene Nelson
    Gene Nelson was an American actor, dancer, and choreographer best known for his energetic musical performances in classic Hollywood films of the 1950s.
  • D. Leland Palmer
    Leland Palmer is an American actress, singer, and dancer best known for her work in musical theatre and film during the 1960s and 1970s.
  • E. Don Hahn
    Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef2fa85ac8190adb7ddeb672bc550 completed April 2, 2026, 10:51 p.m.
NEDg Description generation batch_69cef4cbc0788190bf95aa8058a8d895 completed April 2, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cef830e4e48190bf337a526cc82119 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:09 p.m.