Triple

T1678618
Position Surface form Disambiguated ID Type / Status
Subject Hugh Grant E36287 entity
Predicate hasChild P369 FINISHED
Object Tabitha Grant
Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
 E197576 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: Tabitha Grant | Statement: [Hugh Grant, hasChild, Tabitha Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabitha Grant
Context triple: [Hugh Grant, hasChild, Tabitha Grant]
  • A. Tabitha King
    Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
  • B. Sarah Thorne
    Sarah Thorne was the wife of Leonard Darwin, son of the naturalist Charles Darwin.
  • C. Katherine Clifton
    Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
  • D. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • E. Faith Coghill
    Faith Coghill was the wife of the renowned English architect Sir Christopher Wren.
  • 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: Tabitha Grant
Triple: [Hugh Grant, hasChild, Tabitha Grant]
Generated description
Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabitha Grant
Target entity description: Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
  • A. Tabitha King
    Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
  • B. Sarah Thorne
    Sarah Thorne was the wife of Leonard Darwin, son of the naturalist Charles Darwin.
  • C. Katherine Clifton
    Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
  • D. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • E. Faith Coghill
    Faith Coghill was the wife of the renowned English architect Sir Christopher Wren.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0c87ff88190a6ebdf9566856e03 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada524a234819082f94430da4e802d completed March 8, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69ada5bc32ac8190a921410bdfa465fa completed March 8, 2026, 4:37 p.m.
Created at: March 4, 2026, 7:29 p.m.