Triple

T10845359
Position Surface form Disambiguated ID Type / Status
Subject In Her Skin E255995 entity
Predicate hasCastMember P2308 FINISHED
Object Khan Chittenden
Khan Chittenden is an Australian actor known for his work in film and television, including roles in dramas and thrillers.
E889619 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: Khan Chittenden | Statement: [In Her Skin, hasCastMember, Khan Chittenden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan Chittenden
Context triple: [In Her Skin, hasCastMember, Khan Chittenden]
  • A. Grafton Hunt
    Grafton Hunt is a traditional British foxhound pack and hunting organization historically linked to the Dukes of Grafton.
  • B. William Mapother
    William Mapother is an American character actor known for his intense supporting roles in film and television, including a notable performance in the drama "In the Bedroom."
  • C. Gridley Bryant
    Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
  • D. William Vandivert
    William Vandivert was an American photojournalist best known as one of the founding members of the Magnum Photos cooperative.
  • E. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • 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: Khan Chittenden
Triple: [In Her Skin, hasCastMember, Khan Chittenden]
Generated description
Khan Chittenden is an Australian actor known for his work in film and television, including roles in dramas and thrillers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khan Chittenden
Target entity description: Khan Chittenden is an Australian actor known for his work in film and television, including roles in dramas and thrillers.
  • A. Grafton Hunt
    Grafton Hunt is a traditional British foxhound pack and hunting organization historically linked to the Dukes of Grafton.
  • B. William Mapother
    William Mapother is an American character actor known for his intense supporting roles in film and television, including a notable performance in the drama "In the Bedroom."
  • C. Gridley Bryant
    Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
  • D. William Vandivert
    William Vandivert was an American photojournalist best known as one of the founding members of the Magnum Photos cooperative.
  • E. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • 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.