Triple

T9884913
Position Surface form Disambiguated ID Type / Status
Subject Jerry Krause E180906 entity
Predicate givenName P17 FINISHED
Object Jerry
Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
E486416 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: [Jerry Krause, givenName, Jerry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry
Context triple: [Jerry Krause, givenName, 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. 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.
  • C. Jerry
    Jerry is the given name of Jerry Lee Lewis, the influential American rock and roll and country music singer and pianist known for hits like "Great Balls of Fire."
  • D. Jerry
    Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • E. Jerry
    Jerry is the troubled, isolated protagonist of Edward Albee’s one-act play "The Zoo Story," whose intense encounter with a stranger on a park bench drives the drama’s exploration of alienation and human connection.
  • 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: [Jerry Krause, givenName, Jerry]
Generated description
Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerry
Target entity description: Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • A. Jerry chosen
    Jerry is a masculine given name commonly used in English-speaking countries, often as a diminutive of names like Gerald, Jerome, or Jeremy.
  • B. Jerry
    Jerry is the given name of Jerry Lee Lewis, the influential American rock and roll and country music singer and pianist known for hits like "Great Balls of Fire."
  • C. 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.
  • D. 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.
  • E. Jerry
    Jerry is the video store clerk protagonist of the comedy film "Be Kind Rewind," known for recreating erased movies with homemade, low-budget remakes.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45549488190833200977d558e47 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf6a5848190ad031bdb195cd4ce completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ed1b40ec81909360de54225e8994 completed April 5, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed7bf8a08190b50a1a31875e5591 completed April 5, 2026, 5:05 a.m.
Created at: March 30, 2026, 8:38 p.m.