Triple

T6051836
Position Surface form Disambiguated ID Type / Status
Subject Sing 2 E134812 entity
Predicate mainCharacter P1183 FINISHED
Object Gunter
Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
 E563073 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: Gunter | Statement: [Sing 2, mainCharacter, Gunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gunter
Context triple: [Sing 2, mainCharacter, Gunter]
  • A. Gunner
    Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
  • B. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
  • C. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • 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: Gunter
Triple: [Sing 2, mainCharacter, Gunter]
Generated description
Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gunter
Target entity description: Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • A. Gunner
    Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
  • B. Sperrle
    Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
  • C. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • D. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • E. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f802988190aafdb7cbb087c828 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a911548190b4269d094f65308d completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11423d05c81909298ae598c80ccb0 completed March 23, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69c1149a6a248190bc3234ae8d068645 completed March 23, 2026, 10:23 a.m.
Created at: March 22, 2026, 4:09 p.m.