Triple
T22110300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poul Schlüter |
E546395
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schlüter |
—
|
NE NERFINISHED |
How this triple was built (2 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: Schlüter | Statement: [Poul Schlüter, familyName, Schlüter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlüter Context triple: [Poul Schlüter, familyName, Schlüter]
-
A.
Schluter
chosen
Schluter is a surname most notably associated with American politician William E. Schluter.
-
B.
Rehau
Rehau is a small town in northeastern Bavaria, Germany, known historically for its textile and porcelain industries and today for its plastics manufacturing.
-
C.
Gmundner Keramik
Gmundner Keramik is a traditional Austrian ceramics manufacturer renowned for its hand-painted pottery, especially the iconic green-flamed designs produced in the town of Gmunden.
-
D.
Saint-Gobain
Saint-Gobain is a major French multinational corporation specializing in the production and distribution of construction materials and high-performance solutions for buildings and industry.
-
E.
Seidler
Seidler is a surname most notably associated with British-American screenwriter David Seidler, known for writing the film "The King's Speech."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12948c2ec819083340787b2062649 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:30 p.m.