Triple

T10285793
Position Surface form Disambiguated ID Type / Status
Subject Judge Priest E241223 entity
Predicate musicBy P1952 FINISHED
Object Samuel Kaylin
Samuel Kaylin was an American film composer best known for scoring numerous Hollywood movies in the 1930s and 1940s.
E852684 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: Samuel Kaylin | Statement: [Judge Priest, musicBy, Samuel Kaylin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Kaylin
Context triple: [Judge Priest, musicBy, Samuel Kaylin]
  • A. Benjamin Keen
    Benjamin Keen was a prominent American historian and Latin Americanist known for his influential scholarship on the history and culture of Latin America.
  • B. Chilion Jones
    Chilion Jones was a 19th-century Canadian architect best known for co-designing prominent public buildings in Ottawa, including major parliamentary structures.
  • C. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • D. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • E. Uriel Jones
    Uriel Jones was an American drummer best known for his work on numerous classic Motown recordings as a key studio musician.
  • 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: Samuel Kaylin
Triple: [Judge Priest, musicBy, Samuel Kaylin]
Generated description
Samuel Kaylin was an American film composer best known for scoring numerous Hollywood movies in the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Kaylin
Target entity description: Samuel Kaylin was an American film composer best known for scoring numerous Hollywood movies in the 1930s and 1940s.
  • A. Benjamin Keen
    Benjamin Keen was a prominent American historian and Latin Americanist known for his influential scholarship on the history and culture of Latin America.
  • B. Chilion Jones
    Chilion Jones was a 19th-century Canadian architect best known for co-designing prominent public buildings in Ottawa, including major parliamentary structures.
  • C. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • D. Adam Ryen
    Adam Ryen is a voice actor best known for providing the voice of Cody in Disney's animated film "The Rescuers Down Under."
  • E. Uriel Jones
    Uriel Jones was an American drummer best known for his work on numerous classic Motown recordings as a key studio musician.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b8343c819087c50e5471c46e3f completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8444c48819095100c6d1d45ccc7 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcae243c819095a2e791716805bd completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd3495fc8190a093d2536cfbe58a completed April 9, 2026, 1:13 a.m.
Created at: April 6, 2026, 11:40 a.m.