Triple

T20255329
Position Surface form Disambiguated ID Type / Status
Subject Keisha Castle-Hughes E498678 entity
Predicate playedCharacter P1507 FINISHED
Object Mary
Mary is the central character in the 2006 film "The Nativity Story," portrayed as the young mother of Jesus.
E1421779 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: Mary | Statement: [Keisha Castle-Hughes, playedCharacter, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Keisha Castle-Hughes, playedCharacter, Mary]
  • A. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • B. Mary
    "Mary" is a song from Sarah McLachlan’s acclaimed 1993 album *Fumbling Towards Ecstasy*, known for its introspective lyrics and ethereal, emotive vocal style.
  • C. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • D. Mary
    Mary is the given first name of Eugenia Charles, the pioneering former Prime Minister of Dominica and one of the Caribbean’s most prominent female political leaders.
  • E. Mary
    Mary is the middle name of the renowned British archaeologist Kathleen Kenyon.
  • 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: Mary
Triple: [Keisha Castle-Hughes, playedCharacter, Mary]
Generated description
Mary is the central character in the 2006 film "The Nativity Story," portrayed as the young mother of Jesus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the central character in the 2006 film "The Nativity Story," portrayed as the young mother of Jesus.
  • A. Mary
    Mary is the central character of the film "Precious," a harshly abusive mother whose behavior profoundly shapes her daughter's traumatic life.
  • B. Mary
    Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
  • C. Mary
    Mary is a character portrayed by actress and filmmaker Alice Englert.
  • D. Mary
    Mary is a central character in the romantic comedy film "About Time," known for her warm, quirky personality and her relationship with the time-traveling protagonist.
  • E. Mary
    Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673ab60388190be32cc69bf2b6f76 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a1759d081909909d30925d03d72 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085ad8bfd08190ac31b66cdc0bc6aa completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085b756f44819090892ab35a98fcc8 completed May 16, 2026, 11:56 a.m.
Created at: April 11, 2026, 11:41 p.m.