Triple

T13615716
Position Surface form Disambiguated ID Type / Status
Subject ZZ Top E325303 entity
Predicate notableWork P4 FINISHED
Object Tush
"Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
 E1051455 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: Tush | Statement: [ZZ Top, notableWork, Tush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tush
Context triple: [ZZ Top, notableWork, Tush]
  • A. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • B. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • C. Shush
    Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
  • D. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • E. Tú
    "Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • 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: Tush
Triple: [ZZ Top, notableWork, Tush]
Generated description
"Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tush
Target entity description: "Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
  • A. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • B. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • C. Shush
    Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
  • D. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • E. Tú
    "Tú" is a popular Spanish-language pop-rock song by Colombian singer Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ad0a7c81909c7972187202db96 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f9ecc2881909f71d71e056f9459 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f782c41634819096b0939c6c917259 completed May 3, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69f78366eca88190be313c3a1b1e23ff completed May 3, 2026, 5:18 p.m.
Created at: April 9, 2026, 9:50 p.m.