Triple
T14857207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Bergen op Zoom (1747) |
E349388
|
entity |
| Predicate | commanderDefender |
P14510
|
FINISHED |
| Object |
Cronström
Cronström was a military commander known for leading the defending forces during the 1747 Siege of Bergen op Zoom in the War of the Austrian Succession.
|
E1124103
|
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: Cronström | Statement: [Siege of Bergen op Zoom (1747), commanderDefender, Cronström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cronström Context triple: [Siege of Bergen op Zoom (1747), commanderDefender, Cronström]
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Grafström
Grafström is a Swedish surname most notably associated with Gillis Grafström, a three-time Olympic gold medalist in figure skating.
-
C.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
D.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
E.
Danielsson
Danielsson is a Swedish surname commonly borne by individuals of Scandinavian origin.
- 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: Cronström Triple: [Siege of Bergen op Zoom (1747), commanderDefender, Cronström]
Generated description
Cronström was a military commander known for leading the defending forces during the 1747 Siege of Bergen op Zoom in the War of the Austrian Succession.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cronström Target entity description: Cronström was a military commander known for leading the defending forces during the 1747 Siege of Bergen op Zoom in the War of the Austrian Succession.
-
A.
Bäckström
Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
-
B.
Grafström
Grafström is a Swedish surname most notably associated with Gillis Grafström, a three-time Olympic gold medalist in figure skating.
-
C.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
D.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
E.
Danielsson
Danielsson is a Swedish surname commonly borne by individuals of Scandinavian origin.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650a43bc8190b836fe690d2a3c71 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66a5f3a88190827c6c9247323153 |
completed | May 8, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:54 a.m.