Triple
T1481127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Camperdown |
E30957
|
entity |
| Predicate | capturedShip |
P23911
|
FINISHED |
| Object |
Beschermer
Beschermer was a Dutch warship that served in the late 18th century and was captured by the British Royal Navy during the Battle of Camperdown in 1797.
|
E169336
|
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: Beschermer | Statement: [Battle of Camperdown, capturedShip, Beschermer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beschermer Context triple: [Battle of Camperdown, capturedShip, Beschermer]
-
A.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
B.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
-
C.
Scheider
Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
-
D.
Kocher
Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
-
E.
Becker
Becker is a surname of German origin, commonly associated with individuals in German-speaking countries and their descendants worldwide.
- 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: Beschermer Triple: [Battle of Camperdown, capturedShip, Beschermer]
Generated description
Beschermer was a Dutch warship that served in the late 18th century and was captured by the British Royal Navy during the Battle of Camperdown in 1797.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beschermer Target entity description: Beschermer was a Dutch warship that served in the late 18th century and was captured by the British Royal Navy during the Battle of Camperdown in 1797.
-
A.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
B.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
-
C.
Scheider
Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
-
D.
Kocher
Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
-
E.
Becker
Becker is a surname of German origin, commonly associated with individuals in German-speaking countries and their descendants worldwide.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b1bea08190a1e21ddc15148d3a |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad1694bcc48190bf54dca4479a95e7 |
completed | March 8, 2026, 6:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad170694f48190840f08db72d9f315 |
completed | March 8, 2026, 6:28 a.m. |
Created at: March 1, 2026, 8:11 p.m.