Triple
T3421877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege and capture of Maastricht (1579) |
E72131
|
entity |
| Predicate | opposingCommander |
P1698
|
FINISHED |
| Object |
Sebastian Tapijn
Sebastian Tapijn was a military commander known for leading the defense of Maastricht during the Eighty Years' War.
|
E358147
|
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: Sebastian Tapijn | Statement: [siege and capture of Maastricht (1579), opposingCommander, Sebastian Tapijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Tapijn Context triple: [siege and capture of Maastricht (1579), opposingCommander, Sebastian Tapijn]
-
A.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
B.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
C.
Joost de Blank
Joost de Blank was a 20th-century Anglican clergyman known for his outspoken opposition to apartheid while serving as Archbishop of Cape Town.
-
D.
Andreas Schelfhout
Andreas Schelfhout was a prominent 19th-century Dutch landscape painter and influential teacher associated with the Romantic movement in the Netherlands.
-
E.
Jacob Vosmaer
Jacob Vosmaer was a Dutch Golden Age painter from Delft, known especially for his detailed and vibrant flower still lifes.
- 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: Sebastian Tapijn Triple: [siege and capture of Maastricht (1579), opposingCommander, Sebastian Tapijn]
Generated description
Sebastian Tapijn was a military commander known for leading the defense of Maastricht during the Eighty Years' War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sebastian Tapijn Target entity description: Sebastian Tapijn was a military commander known for leading the defense of Maastricht during the Eighty Years' War.
-
A.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
B.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
C.
Joost de Blank
Joost de Blank was a 20th-century Anglican clergyman known for his outspoken opposition to apartheid while serving as Archbishop of Cape Town.
-
D.
Andreas Schelfhout
Andreas Schelfhout was a prominent 19th-century Dutch landscape painter and influential teacher associated with the Romantic movement in the Netherlands.
-
E.
Jacob Vosmaer
Jacob Vosmaer was a Dutch Golden Age painter from Delft, known especially for his detailed and vibrant flower still lifes.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb950f65481908c4aad15516e7a7c |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c285688190a264fcb4ab271b82 |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b3616dec3881908a54fa6500f7efb0 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36211b6b08190ac0cac646160495d |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:15 p.m.