Triple
T12718743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mart Stam |
E303917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stam
Stam is a Dutch surname most notably associated with Mart Stam, a pioneering modernist architect and furniture designer.
|
E1000445
|
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: Stam | Statement: [Mart Stam, familyName, Stam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stam Context triple: [Mart Stam, familyName, Stam]
-
A.
Stammham
Stammham is a municipality in Bavaria, Germany, located in the district of Altötting near the river Inn.
-
B.
STAM
STAM is the Ghent City Museum in Belgium, showcasing the city's history, development, and cultural heritage through interactive and historical exhibits.
-
C.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
D.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
E.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
- 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: Stam Triple: [Mart Stam, familyName, Stam]
Generated description
Stam is a Dutch surname most notably associated with Mart Stam, a pioneering modernist architect and furniture designer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stam Target entity description: Stam is a Dutch surname most notably associated with Mart Stam, a pioneering modernist architect and furniture designer.
-
A.
Stammham
Stammham is a municipality in Bavaria, Germany, located in the district of Altötting near the river Inn.
-
B.
STAM
STAM is the Ghent City Museum in Belgium, showcasing the city's history, development, and cultural heritage through interactive and historical exhibits.
-
C.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
D.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
E.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9625d9da48190ab377f9328a0e1f5 |
completed | April 10, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8250108190bb7b3c93e590ea47 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67db4dd2081909a238e368645e899 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ececce8819080335e67bd747057 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:24 p.m.