Triple

T2429488
Position Surface form Disambiguated ID Type / Status
Subject Some Like It Hot E52807 entity
Predicate hasCharacter P2308 FINISHED
Object Jerry
Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
 E267035 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: Jerry | Statement: [Some Like It Hot, hasCharacter, Jerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerry
Context triple: [Some Like It Hot, hasCharacter, Jerry]
  • A. Jerry
    Jerry is the given name of Jerry Reinsdorf, the American businessman best known as the longtime owner of the Chicago Bulls and Chicago White Sox.
  • B. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • C. Joe
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • D. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • E. Joe
    Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
  • 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: Jerry
Triple: [Some Like It Hot, hasCharacter, Jerry]
Generated description
Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerry
Target entity description: Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
  • A. Jerry
    Jerry is the given name of Jerry Reinsdorf, the American businessman best known as the longtime owner of the Chicago Bulls and Chicago White Sox.
  • B. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • C. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • D. Joe
    Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
  • E. Joe
    Joe is a common masculine given name, often a short form of Joseph, used widely in English-speaking countries.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99e1b548190aca9a0ba72a9b0f7 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a5fc208190a2479de4b1344759 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef58eff2c81909cbf3346705940a3 completed March 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69aef656ae0c81908753cc5a8b5fe704 completed March 9, 2026, 4:33 p.m.
Created at: March 6, 2026, 9:43 p.m.