Triple

T10887011
Position Surface form Disambiguated ID Type / Status
Subject Neo Rauch E257073 entity
Predicate notableWork P4 FINISHED
Object “Die Stickerin”
“Die Stickerin” is a painting by contemporary German artist Neo Rauch, reflecting his characteristic blend of figurative imagery, surreal narratives, and socialist realist aesthetics.
E891430 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: “Die Stickerin” | Statement: [Neo Rauch, notableWork, “Die Stickerin”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Die Stickerin”
Context triple: [Neo Rauch, notableWork, “Die Stickerin”]
  • A. Stikker
    Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
  • B. The Stick
    The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
  • C. “Stray Paper”
    “Stray Paper” is a song by the Japanese rock band Get Hurt.
  • D. Stick It
    Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
  • E. Stickies
    Stickies is the nickname for the Official Irish Republican movement, a left-wing Irish republican organization that emerged from a split in the IRA in the late 1960s.
  • 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: “Die Stickerin”
Triple: [Neo Rauch, notableWork, “Die Stickerin”]
Generated description
“Die Stickerin” is a painting by contemporary German artist Neo Rauch, reflecting his characteristic blend of figurative imagery, surreal narratives, and socialist realist aesthetics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Die Stickerin”
Target entity description: “Die Stickerin” is a painting by contemporary German artist Neo Rauch, reflecting his characteristic blend of figurative imagery, surreal narratives, and socialist realist aesthetics.
  • A. Stikker
    Stikker is a surname most notably associated with Dirk Stikker, a Dutch politician and diplomat who served as NATO Secretary General.
  • B. The Stick
    The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
  • C. “Stray Paper”
    “Stray Paper” is a song by the Japanese rock band Get Hurt.
  • D. Stick It
    Stick It is a 2006 teen sports comedy-drama film centered on competitive gymnastics and rebellious youth.
  • E. Stickies
    Stickies is the nickname for the Official Irish Republican movement, a left-wing Irish republican organization that emerged from a split in the IRA in the late 1960s.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dea1a88190b916879be8d74413 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7edfee48190802e992f4a299db0 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:21 p.m.