Triple

T11438764
Position Surface form Disambiguated ID Type / Status
Subject Lou Johnson E271080 entity
Predicate nickname P55 FINISHED
Object Sweet Lou
Sweet Lou is the nickname of Lou Johnson, an American Major League Baseball outfielder best known for his key role with the Los Angeles Dodgers in the mid-1960s.
E926620 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: Sweet Lou | Statement: [Lou Johnson, nickname, Sweet Lou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Lou
Context triple: [Lou Johnson, nickname, Sweet Lou]
  • A. Sweet Lou
    Sweet Lou is the longtime nickname of Lou Piniella, a fiery former Major League Baseball outfielder and World Series–winning manager.
  • B. Sweet Lady
    "Sweet Lady" is a popular R&B single by Tyrese Gibson, released in 1998 and widely recognized as one of his signature songs.
  • C. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • D. Sweet Mama
    Sweet Mama is a recurring comedic segment featured in the television game show "Win, Lose or Draw."
  • E. Sweetheart
    Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
  • 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: Sweet Lou
Triple: [Lou Johnson, nickname, Sweet Lou]
Generated description
Sweet Lou is the nickname of Lou Johnson, an American Major League Baseball outfielder best known for his key role with the Los Angeles Dodgers in the mid-1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sweet Lou
Target entity description: Sweet Lou is the nickname of Lou Johnson, an American Major League Baseball outfielder best known for his key role with the Los Angeles Dodgers in the mid-1960s.
  • A. Sweet Lou
    Sweet Lou is the longtime nickname of Lou Piniella, a fiery former Major League Baseball outfielder and World Series–winning manager.
  • B. Sweet Lady
    "Sweet Lady" is a popular R&B single by Tyrese Gibson, released in 1998 and widely recognized as one of his signature songs.
  • C. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • D. Sweet Mama
    Sweet Mama is a recurring comedic segment featured in the television game show "Win, Lose or Draw."
  • E. Sweetheart
    Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d39554c48190969cc0ebd4dbc368 completed April 20, 2026, 7:19 a.m.
NEDg Description generation batch_69e5d91b047c81909ea4c7f114bfbba5 completed April 20, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e5e2de4cd081908d30c44853565029 completed April 20, 2026, 8:25 a.m.
Created at: April 8, 2026, 9:35 p.m.