Triple

T3621674
Position Surface form Disambiguated ID Type / Status
Subject Buddy the Elf E76740 entity
Predicate givenName P17 FINISHED
Object Buddy
Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
 E372959 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: Buddy | Statement: [Buddy the Elf, givenName, Buddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buddy
Context triple: [Buddy the Elf, givenName, Buddy]
  • A. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • B. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • C. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • D. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • 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: Buddy
Triple: [Buddy the Elf, givenName, Buddy]
Generated description
Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buddy
Target entity description: Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
  • A. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • B. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • C. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • D. Buster the dog
    Buster the dog is a loyal canine companion and recurring supporting character in The Mystery Series, often aiding the protagonists in their investigations.
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436140e9c81909c0616e6fce36c2b completed March 13, 2026, 4:06 p.m.
NED2 Entity disambiguation (via description) batch_69b439c83580819091024e692847a7db completed March 13, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:23 p.m.