Triple

T2894025
Position Surface form Disambiguated ID Type / Status
Subject The Nightmare Before Christmas E63894 entity
Predicate mainCharacter P1183 FINISHED
Object Sally
Sally is the rag-doll heroine of Tim Burton’s animated film "The Nightmare Before Christmas," known for her resourcefulness, independence, and unrequited love for Jack Skellington.
 E309081 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: Sally | Statement: [The Nightmare Before Christmas, mainCharacter, Sally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sally
Context triple: [The Nightmare Before Christmas, mainCharacter, Sally]
  • A. Sally
    Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
  • B. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • C. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • D. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • E. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • 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: Sally
Triple: [The Nightmare Before Christmas, mainCharacter, Sally]
Generated description
Sally is the rag-doll heroine of Tim Burton’s animated film "The Nightmare Before Christmas," known for her resourcefulness, independence, and unrequited love for Jack Skellington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sally
Target entity description: Sally is the rag-doll heroine of Tim Burton’s animated film "The Nightmare Before Christmas," known for her resourcefulness, independence, and unrequited love for Jack Skellington.
  • A. Sally
    Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
  • B. Sally
    Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
  • C. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • D. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • E. Samantha
    Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f88608819087f258286b2e9e66 completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b060371bec819084be721a01ca30c7 completed March 10, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_69b060adc800819088f50b8ab07b2575 completed March 10, 2026, 6:19 p.m.
Created at: March 6, 2026, 10:07 p.m.