Triple
T16497091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Kurt Haugwitz-Reventlow |
E400711
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Haugwitz-Reventlow
Haugwitz-Reventlow is the name of a prominent European noble family associated with Danish and German aristocracy.
|
E1217117
|
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: Haugwitz-Reventlow | Statement: [Count Kurt Haugwitz-Reventlow, familyName, Haugwitz-Reventlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haugwitz-Reventlow Context triple: [Count Kurt Haugwitz-Reventlow, familyName, Haugwitz-Reventlow]
-
A.
Hans Ditlev Bendixsen Shipyard
Hans Ditlev Bendixsen Shipyard was a prominent late-19th-century shipbuilding yard on the U.S. West Coast, known for constructing wooden sailing vessels used in the lumber trade.
-
B.
Enskede
Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
-
C.
Larsen
Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
-
D.
Malmö shipyard
Malmö shipyard is a historic Swedish shipbuilding facility in Malmö, known for constructing naval and commercial vessels and now operated by Saab Kockums.
-
E.
Ulstein
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
- 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: Haugwitz-Reventlow Triple: [Count Kurt Haugwitz-Reventlow, familyName, Haugwitz-Reventlow]
Generated description
Haugwitz-Reventlow is the name of a prominent European noble family associated with Danish and German aristocracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haugwitz-Reventlow Target entity description: Haugwitz-Reventlow is the name of a prominent European noble family associated with Danish and German aristocracy.
-
A.
Hans Ditlev Bendixsen Shipyard
Hans Ditlev Bendixsen Shipyard was a prominent late-19th-century shipbuilding yard on the U.S. West Coast, known for constructing wooden sailing vessels used in the lumber trade.
-
B.
Enskede
Enskede is a suburban district in southern Stockholm, Sweden, known for its residential areas and garden-city character.
-
C.
Larsen
Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
-
D.
Malmö shipyard
Malmö shipyard is a historic Swedish shipbuilding facility in Malmö, known for constructing naval and commercial vessels and now operated by Saab Kockums.
-
E.
Ulstein
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.