Triple

T11666975
Position Surface form Disambiguated ID Type / Status
Subject Love Happy E277273 entity
Predicate cinematography P1953 FINISHED
Object Lester White
Lester White was a film cinematographer best known for his work on mid-20th-century American movies, including the Marx Brothers comedy "Love Happy."
E939350 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: Lester White | Statement: [Love Happy, cinematography, Lester White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lester White
Context triple: [Love Happy, cinematography, Lester White]
  • A. Walter J. Hickel
    Walter J. Hickel was an American politician and businessman who served as governor of Alaska and as U.S. Secretary of the Interior.
  • B. William Sewell
    William Sewell is the son of British actor Rufus Sewell.
  • C. William Premerlani
    William Premerlani is a software engineer and methodologist best known for co-developing the Object Modeling Technique (OMT), an influential object-oriented analysis and design methodology.
  • D. George Milner
    George Milner is a personal name shared by several notable individuals, including figures in fields such as linguistics, politics, and the military.
  • E. William Joyce Sewell
    William Joyce Sewell was a 19th-century Irish-born American Civil War general and Republican politician who served as a U.S. Senator from New Jersey.
  • 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: Lester White
Triple: [Love Happy, cinematography, Lester White]
Generated description
Lester White was a film cinematographer best known for his work on mid-20th-century American movies, including the Marx Brothers comedy "Love Happy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lester White
Target entity description: Lester White was a film cinematographer best known for his work on mid-20th-century American movies, including the Marx Brothers comedy "Love Happy."
  • A. Walter J. Hickel
    Walter J. Hickel was an American politician and businessman who served as governor of Alaska and as U.S. Secretary of the Interior.
  • B. William Sewell
    William Sewell is the son of British actor Rufus Sewell.
  • C. William Premerlani
    William Premerlani is a software engineer and methodologist best known for co-developing the Object Modeling Technique (OMT), an influential object-oriented analysis and design methodology.
  • D. George Milner
    George Milner is a personal name shared by several notable individuals, including figures in fields such as linguistics, politics, and the military.
  • E. William Joyce Sewell
    William Joyce Sewell was a 19th-century Irish-born American Civil War general and Republican politician who served as a U.S. Senator from New Jersey.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.