Triple

T5532874
Position Surface form Disambiguated ID Type / Status
Subject Enter Nowhere E145089 entity
Predicate hasCharacter P2308 FINISHED
Object Samantha
Samantha is a central character in the psychological thriller film "Enter Nowhere," where she becomes trapped in a mysterious cabin in the woods alongside two strangers as they unravel a time-bending mystery.
 E535850 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: Samantha | Statement: [Enter Nowhere, hasCharacter, Samantha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samantha
Context triple: [Enter Nowhere, hasCharacter, Samantha]
  • A. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • B. Samantha
    Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
  • C. Sammie
    Sammie is a given name or nickname commonly used as a variant of the name Sam.
  • D. Samantha Logan
    Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
  • E. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • 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: Samantha
Triple: [Enter Nowhere, hasCharacter, Samantha]
Generated description
Samantha is a central character in the psychological thriller film "Enter Nowhere," where she becomes trapped in a mysterious cabin in the woods alongside two strangers as they unravel a time-bending mystery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samantha
Target entity description: Samantha is a central character in the psychological thriller film "Enter Nowhere," where she becomes trapped in a mysterious cabin in the woods alongside two strangers as they unravel a time-bending mystery.
  • A. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • B. Samantha
    Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
  • C. Sammie
    Sammie is a given name or nickname commonly used as a variant of the name Sam.
  • D. Samantha Logan
    Samantha Logan is an American actress best known for her leading role as Olivia Baker in the television drama series "All American."
  • E. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce1bce4819095559af19cf072f8 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:34 p.m.