Triple

T4480037
Position Surface form Disambiguated ID Type / Status
Subject Happy Felsch E100106 entity
Predicate nickname P55 FINISHED
Object Happy
Happy is the nickname of Happy Felsch, an early 20th-century American Major League Baseball outfielder best known for his role in the 1919 Chicago White Sox "Black Sox" scandal.
E441371 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: Happy | Statement: [Happy Felsch, nickname, Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy
Context triple: [Happy Felsch, nickname, Happy]
  • A. Happy
    "Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
  • B. Happy
    "Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
  • C. Happy
    Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
  • D. Happy
    "Happy" is a 1972 rock song by The Rolling Stones, sung by Keith Richards and known for its raw, upbeat energy and prominent place in their live performances.
  • E. Happy
    "Happy" is a track from Kanye West's album "Donda 2," reflecting the project's experimental, unfinished, and stem-player-focused release approach.
  • 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: Happy
Triple: [Happy Felsch, nickname, Happy]
Generated description
Happy is the nickname of Happy Felsch, an early 20th-century American Major League Baseball outfielder best known for his role in the 1919 Chicago White Sox "Black Sox" scandal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Happy
Target entity description: Happy is the nickname of Happy Felsch, an early 20th-century American Major League Baseball outfielder best known for his role in the 1919 Chicago White Sox "Black Sox" scandal.
  • A. Happy
    Happy was the nickname of Albert Benjamin "Happy" Chandler, an American politician who served as Governor of Kentucky, U.S. Senator, and the second Commissioner of Major League Baseball.
  • B. Happy
    "Happy" is a song featured as a part of the Justin Bieber concert film and soundtrack "Never Say Never."
  • C. Happy
    "Happy" is a globally popular, upbeat pop-soul song by Pharrell Williams known for its infectious melody and feel-good message.
  • D. Happy
    "Happy" is a 1972 rock song by The Rolling Stones, sung by Keith Richards and known for its raw, upbeat energy and prominent place in their live performances.
  • E. Happy
    "Happy" is a track from Kanye West's album "Donda 2," reflecting the project's experimental, unfinished, and stem-player-focused release approach.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6288b22ec8190b327b91130275af5 completed March 15, 2026, 3:33 a.m.
NEDg Description generation batch_69b62977dcc88190aa79e77e42f7a866 completed March 15, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69b629f4a1748190945a02e5f0f3d1d1 completed March 15, 2026, 3:39 a.m.
Created at: March 12, 2026, 11:35 p.m.