Triple

T10845358
Position Surface form Disambiguated ID Type / Status
Subject In Her Skin E255995 entity
Predicate hasCastMember P2308 FINISHED
Object Kate Bell
Kate Bell is an Australian actress best known for her role in the psychological drama film "In Her Skin."
E889618 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: Kate Bell | Statement: [In Her Skin, hasCastMember, Kate Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Bell
Context triple: [In Her Skin, hasCastMember, Kate Bell]
  • A. Cassandra Harris
    Cassandra Harris was an Australian actress and Bond girl best known for her role in "For Your Eyes Only" and for being the first wife of actor Pierce Brosnan.
  • B. Katie Bell Nubin
    Katie Bell Nubin was a gospel singer and evangelist known for nurturing her daughter Sister Rosetta Tharpe’s musical and spiritual development.
  • C. Grace McKagan
    Grace McKagan is an American singer and model best known as the frontwoman of the rock band The Pink Slips and the daughter of Guns N' Roses bassist Duff McKagan.
  • D. Bella Enahoro
    Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
  • E. Daphne Keen
    Daphne Keen is a British-Spanish actress best known for her breakout role as Laura/X-23 in the film "Logan" and as Lyra Belacqua in the television series "His Dark Materials."
  • 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: Kate Bell
Triple: [In Her Skin, hasCastMember, Kate Bell]
Generated description
Kate Bell is an Australian actress best known for her role in the psychological drama film "In Her Skin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kate Bell
Target entity description: Kate Bell is an Australian actress best known for her role in the psychological drama film "In Her Skin."
  • A. Cassandra Harris
    Cassandra Harris was an Australian actress and Bond girl best known for her role in "For Your Eyes Only" and for being the first wife of actor Pierce Brosnan.
  • B. Katie Bell Nubin
    Katie Bell Nubin was a gospel singer and evangelist known for nurturing her daughter Sister Rosetta Tharpe’s musical and spiritual development.
  • C. Grace McKagan
    Grace McKagan is an American singer and model best known as the frontwoman of the rock band The Pink Slips and the daughter of Guns N' Roses bassist Duff McKagan.
  • D. Bella Enahoro
    Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
  • E. Daphne Keen
    Daphne Keen is a British-Spanish actress best known for her breakout role as Laura/X-23 in the film "Logan" and as Lyra Belacqua in the television series "His Dark Materials."
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec255abb08190bf93573c41aa35e9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7c48c3c81909365b901830f0906 completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:19 p.m.