Triple

T6646769
Position Surface form Disambiguated ID Type / Status
Subject SSG Landers E150719 entity
Predicate mascot P52 FINISHED
Object Landy
Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
 E609550 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: Landy | Statement: [SSG Landers, mascot, Landy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landy
Context triple: [SSG Landers, mascot, Landy]
  • A. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • B. Kandi
    Kandi is an American singer, songwriter, television personality, and businesswoman best known as a member of the R&B group Xscape and a star of The Real Housewives of Atlanta.
  • C. Lola
    Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
  • D. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • E. Lola
    Lola is the charismatic drag queen and performer who serves as the central catalyst for change in the musical and film "Kinky Boots."
  • 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: Landy
Triple: [SSG Landers, mascot, Landy]
Generated description
Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landy
Target entity description: Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
  • A. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • B. Kandi
    Kandi is an American singer, songwriter, television personality, and businesswoman best known as a member of the R&B group Xscape and a star of The Real Housewives of Atlanta.
  • C. Lola
    Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
  • D. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • E. Lola
    Lola is the charismatic drag queen and performer who serves as the central catalyst for change in the musical and film "Kinky Boots."
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef6def8819084bccdf6f11e63da completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a1149c8190af55a613eada84b6 completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f17ccd7c8190918e03b114f4f064 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2 p.m.