Triple

T22026814
Position Surface form Disambiguated ID Type / Status
Subject Reginald Le Borg E543987 entity
Predicate familyName P18 FINISHED
Object Le Borg
Le Borg is a surname most notably associated with Reginald Le Borg, an Austrian-American film director known for his work in mid-20th-century Hollywood cinema.
 E1513110 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: Le Borg | Statement: [Reginald Le Borg, familyName, Le Borg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Borg
Context triple: [Reginald Le Borg, familyName, Le Borg]
  • A. Lisberg
    Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
  • B. L’Azur
    L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
  • C. Souchon
    Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
  • D. La Madrague
    "La Madrague" is a 1963 French chanson closely associated with Brigitte Bardot, evoking the carefree atmosphere of her seaside home in Saint-Tropez.
  • E. Le May
    Le May is a surname of French origin that can refer to various individuals, including writers, politicians, and other notable figures.
  • 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: Le Borg
Triple: [Reginald Le Borg, familyName, Le Borg]
Generated description
Le Borg is a surname most notably associated with Reginald Le Borg, an Austrian-American film director known for his work in mid-20th-century Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Borg
Target entity description: Le Borg is a surname most notably associated with Reginald Le Borg, an Austrian-American film director known for his work in mid-20th-century Hollywood cinema.
  • A. Lisberg
    Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
  • B. L’Azur
    L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
  • C. Souchon
    Souchon is a German surname most notably associated with Admiral Wilhelm Souchon, a key naval commander during World War I.
  • D. La Madrague
    "La Madrague" is a 1963 French chanson closely associated with Brigitte Bardot, evoking the carefree atmosphere of her seaside home in Saint-Tropez.
  • E. Le May
    Le May is a surname of French origin that can refer to various individuals, including writers, politicians, and other notable figures.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ccc2ec8190a94d69530d00c06c completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7388f20481909d2d73a512ab3356 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a744b20d48190a5dc20d9442f075b completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75011178819089d94f745a38a6e6 completed May 18, 2026, 2:10 a.m.
Created at: April 16, 2026, 8:24 p.m.