Triple

T6043217
Position Surface form Disambiguated ID Type / Status
Subject Robert Schwentke E134598 entity
Predicate notableWork P4 FINISHED
Object Tattoo
"Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
 E563187 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: Tattoo | Statement: [Robert Schwentke, notableWork, Tattoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tattoo
Context triple: [Robert Schwentke, notableWork, Tattoo]
  • A. Tattoo
    "Tattoo" is a mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
  • B. Basel Tattoo
    Basel Tattoo is a major annual military music and marching show in Basel, Switzerland, featuring international military bands, precision drill teams, and ceremonial performances.
  • C. Graffitia
    Graffitia is a song featured on the album "Father of All Motherfuckers" by Green Day.
  • D. Scar
    Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
  • E. Scar
    Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
  • 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: Tattoo
Triple: [Robert Schwentke, notableWork, Tattoo]
Generated description
"Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tattoo
Target entity description: "Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
  • A. Tattoo
    "Tattoo" is a mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
  • B. Basel Tattoo
    Basel Tattoo is a major annual military music and marching show in Basel, Switzerland, featuring international military bands, precision drill teams, and ceremonial performances.
  • C. Graffitia
    Graffitia is a song featured on the album "Father of All Motherfuckers" by Green Day.
  • D. Scar
    Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
  • E. Scar
    Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11449a00081908e8e91790079da93 completed March 23, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_69c114c85c0c8190934adc20ddd1898f completed March 23, 2026, 10:24 a.m.
Created at: March 22, 2026, 4:08 p.m.