Triple

T9355846
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake 2002 mascots set E225135 entity
Predicate hasPart P35 FINISHED
Object Otto
Otto is one of the official mascots created for the 2002 Winter Olympics held in Salt Lake City.
 E794085 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: Otto | Statement: [Salt Lake 2002 mascots set, hasPart, Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Otto
Context triple: [Salt Lake 2002 mascots set, hasPart, Otto]
  • A. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • B. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • C. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • D. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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: Otto
Triple: [Salt Lake 2002 mascots set, hasPart, Otto]
Generated description
Otto is one of the official mascots created for the 2002 Winter Olympics held in Salt Lake City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Otto
Target entity description: Otto is one of the official mascots created for the 2002 Winter Olympics held in Salt Lake City.
  • A. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • B. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • C. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f99205c8190a5ad95926ef25497 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3d248a88190b7d17af66e2903c5 completed April 4, 2026, 11:19 a.m.
NEDg Description generation batch_69d0f46bd034819093e7157a3e1ac1fc completed April 4, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69d0f5bf64548190b40e97b279db5105 completed April 4, 2026, 11:27 a.m.
Created at: March 30, 2026, 7:42 p.m.