Triple

T16875707
Position Surface form Disambiguated ID Type / Status
Subject Margaret Lockwood E421292 entity
Predicate spouse P13 FINISHED
Object Rupert Leon
Rupert Leon was the husband of renowned British film and theatre actress Margaret Lockwood.
E1237870 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: Rupert Leon | Statement: [Margaret Lockwood, spouse, Rupert Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Leon
Context triple: [Margaret Lockwood, spouse, Rupert Leon]
  • A. Rupert Preston
    Rupert Preston is a British film producer known for his work on independent and genre films, including the crime drama "Bronson."
  • B. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • C. Rupert Horn
    Rupert Horn is a character from the comedic novel and film adaptations of "Brewster's Millions," connected to the protagonist Montgomery Brewster within the story's inheritance plot.
  • D. Rupert Harvey
    Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
  • E. Rupert Angier
    Rupert Angier is a rival stage magician whose obsessive feud with Alfred Borden drives the central mystery and tragedy in Christopher Priest's novel "The Prestige."
  • 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: Rupert Leon
Triple: [Margaret Lockwood, spouse, Rupert Leon]
Generated description
Rupert Leon was the husband of renowned British film and theatre actress Margaret Lockwood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rupert Leon
Target entity description: Rupert Leon was the husband of renowned British film and theatre actress Margaret Lockwood.
  • A. Rupert Preston
    Rupert Preston is a British film producer known for his work on independent and genre films, including the crime drama "Bronson."
  • B. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • C. Rupert Horn
    Rupert Horn is a character from the comedic novel and film adaptations of "Brewster's Millions," connected to the protagonist Montgomery Brewster within the story's inheritance plot.
  • D. Rupert Harvey
    Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
  • E. Rupert Angier
    Rupert Angier is a rival stage magician whose obsessive feud with Alfred Borden drives the central mystery and tragedy in Christopher Priest's novel "The Prestige."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:29 a.m.