Triple

T6700277
Position Surface form Disambiguated ID Type / Status
Subject Julie Delpy E152859 entity
Predicate hasChild P369 FINISHED
Object Leo (son)
Leo is the son of French-American actress and filmmaker Julie Delpy.
 E612015 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: Leo (son) | Statement: [Julie Delpy, hasChild, Leo (son)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leo (son)
Context triple: [Julie Delpy, hasChild, Leo (son)]
  • A. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • B. Leo
    Leo is an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
  • C. Leonard
    Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
  • D. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • E. Léonard
    Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
  • 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: Leo (son)
Triple: [Julie Delpy, hasChild, Leo (son)]
Generated description
Leo is the son of French-American actress and filmmaker Julie Delpy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leo (son)
Target entity description: Leo is the son of French-American actress and filmmaker Julie Delpy.
  • A. Leo
    Leo is a zodiac constellation and astrological sign traditionally associated with the lion, symbolizing courage, leadership, and creativity.
  • B. Leo
    Leo is an animated comedy film associated with Adam Sandler’s Happy Madison Productions, featuring a humorous, family-friendly story.
  • C. Leonard
    Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
  • D. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • E. Léonard
    Léonard is a given name and surname used in French-speaking contexts, corresponding to the name Leonhard or Leonard.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a7355081908a0acfa8d2bb4c09 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7c127288190a9917f482217a8df completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f84621988190a3502dff9ee6296d completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8f694f48190a6bb380b0ca583bf completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.