Triple

T22091279
Position Surface form Disambiguated ID Type / Status
Subject Samantha E545917 entity
Predicate hasVariant P455 FINISHED
Object Samanthah
Samanthah is an alternative spelling variant of the given name Samantha, typically used as a feminine first name.
E545917 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: Samanthah | Statement: [Samantha, hasVariant, Samanthah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samanthah
Context triple: [Samantha, hasVariant, Samanthah]
  • 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. Samantha
    Samantha is a character portrayed by American actress Rachel Keller, known for her roles in television series such as "Legion" and "Fargo."
  • D. Samantha
    Samantha is a young girl who stars as one of the main characters in the 1972 family adventure film "Napoleon and Samantha."
  • E. Samantha
    Samantha is a character who appears alongside Frank Garcia in the film "Everything Must Go."
  • 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: Samanthah
Triple: [Samantha, hasVariant, Samanthah]
Generated description
Samanthah is an alternative spelling variant of the given name Samantha, typically used as a feminine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samanthah
Target entity description: Samanthah is an alternative spelling variant of the given name Samantha, typically used as a feminine first name.
  • A. Samantha chosen
    Samantha is a feminine given name of Aramaic origin meaning "listener" or "heard by God," widely used in English-speaking countries.
  • B. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • C. Samantha
    Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
  • D. 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.
  • E. Samantha
    Samantha is a minor character from the sitcom "That '70s Show" who briefly appears as Steven Hyde's wife.
  • F. None of above.

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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f117f7c8190b34b3bd32eb0e97d completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a90ca49c48190b01c88ae7e841cb4 completed May 18, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a915bd5748190afc5a5a6e9398564 completed May 18, 2026, 4:11 a.m.
Created at: April 16, 2026, 8:29 p.m.