Triple

T11386204
Position Surface form Disambiguated ID Type / Status
Subject Carl W. Stalling E269720 entity
Predicate givenName P17 FINISHED
Object Carl
Carl is the given name of Carl W. Stalling, the influential American composer and arranger best known for his work on Warner Bros. Looney Tunes and Merrie Melodies cartoons.
E922986 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: Carl | Statement: [Carl W. Stalling, givenName, Carl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl
Context triple: [Carl W. Stalling, givenName, Carl]
  • A. Carl
    Carl is a central character in the British comedy film "The Boat That Rocked," portrayed as a young man who joins a pirate radio ship in the 1960s and comes of age amid its rebellious DJs and rock music culture.
  • B. Carl
    Carl is an alternate given name associated with Reggie Smith, likely reflecting his full legal or birth name.
  • C. Carl
    Carl is the given name of Carl Schorske, a prominent American cultural and intellectual historian known for his influential work on fin-de-siècle Vienna.
  • D. Carl
    Carl is the given name of Carl Viggo Lange, a Norwegian physician and politician.
  • E. Carl
    Carl is the given first name of the renowned Swedish actor Max von Sydow, known for his extensive work in European and Hollywood cinema.
  • 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: Carl
Triple: [Carl W. Stalling, givenName, Carl]
Generated description
Carl is the given name of Carl W. Stalling, the influential American composer and arranger best known for his work on Warner Bros. Looney Tunes and Merrie Melodies cartoons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl
Target entity description: Carl is the given name of Carl W. Stalling, the influential American composer and arranger best known for his work on Warner Bros. Looney Tunes and Merrie Melodies cartoons.
  • A. Carl
    Carl is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician of the Classical period.
  • B. Carl
    Carl is the given name of the German Romantic composer and conductor Carl Maria von Weber, known for works such as the opera "Der Freischütz."
  • C. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • D. Carl
    Carl is the given name of Peter Carl Fabergé, the renowned Russian jeweler famous for creating the Imperial Fabergé eggs.
  • E. Carl
    Carl is the given name of Carl von Linde, the German engineer and inventor known for pioneering refrigeration and gas liquefaction technologies.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c3c9a7081908002d726ec9e7715 completed April 20, 2026, 2:15 a.m.
NEDg Description generation batch_69e5932d3cb88190807acdcdc3aaa9fc completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a0ab7e081908cb8761c4f82c664 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.