Triple

T2732397
Position Surface form Disambiguated ID Type / Status
Subject Elf E60344 entity
Predicate character P662 FINISHED
Object Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
 E292627 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: Jovie | Statement: [Elf, character, Jovie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jovie
Context triple: [Elf, character, Jovie]
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Joss
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • D. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • E. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • 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: Jovie
Triple: [Elf, character, Jovie]
Generated description
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jovie
Target entity description: Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • A. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • B. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • C. Joss
    Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
  • D. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • E. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf011548190beb9c3feee7b743f completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69eeedc81908ad654de9e1259ea completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.