Triple

T11991520
Position Surface form Disambiguated ID Type / Status
Subject Mika Rottenberg E285416 entity
Predicate hasWork P6260 FINISHED
Object Squeeze
Squeeze is a surreal, satirical video installation by artist Mika Rottenberg that explores themes of labor, globalization, and the absurdity of production processes.
 E957407 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: Squeeze | Statement: [Mika Rottenberg, hasWork, Squeeze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Squeeze
Context triple: [Mika Rottenberg, hasWork, Squeeze]
  • A. Squeeze Me
    "Squeeze Me" is a classic jazz standard composed by Fats Waller that has become a staple of the early 20th-century American songbook.
  • B. Scooch
    Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
  • C. The Smile
    The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
  • D. Stomp
    "Stomp" is a popular gospel-hip hop song by Kirk Franklin that helped bring contemporary gospel music into the mainstream in the late 1990s.
  • E. Stomp
    "Stomp" is a track from The Roots' concept album "Undun," contributing to its narrative of a young man's rise and fall.
  • 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: Squeeze
Triple: [Mika Rottenberg, hasWork, Squeeze]
Generated description
Squeeze is a surreal, satirical video installation by artist Mika Rottenberg that explores themes of labor, globalization, and the absurdity of production processes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Squeeze
Target entity description: Squeeze is a surreal, satirical video installation by artist Mika Rottenberg that explores themes of labor, globalization, and the absurdity of production processes.
  • A. Squeeze Me
    "Squeeze Me" is a classic jazz standard composed by Fats Waller that has become a staple of the early 20th-century American songbook.
  • B. Scooch
    Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
  • C. The Smile
    The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
  • D. Stomp
    "Stomp" is a track from The Roots' concept album "Undun," contributing to its narrative of a young man's rise and fall.
  • E. Stomp
    "Stomp" is a popular gospel-hip hop song by Kirk Franklin that helped bring contemporary gospel music into the mainstream in the late 1990s.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47cb7f9b4819091e6df4b894359bb completed May 1, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f47e6b8234819087fa1c53406b5f62 completed May 1, 2026, 10:20 a.m.
Created at: April 8, 2026, 9:46 p.m.