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.