Triple
T13229728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Bladen |
E314979
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Barbara Janssen
Barbara Janssen is known as the spouse of British civil servant and intelligence officer Thomas Bladen.
|
E1028948
|
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: Barbara Janssen | Statement: [Thomas Bladen, spouse, Barbara Janssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Janssen Context triple: [Thomas Bladen, spouse, Barbara Janssen]
-
A.
Hannelore Menzel
Hannelore Menzel is a German actress known for her work in mid-20th-century film and theater.
-
B.
Brigitte Fassbaender
Brigitte Fassbaender is a renowned German mezzo-soprano and opera director celebrated for her expressive lieder interpretations and distinguished international singing career.
-
C.
Nathalie Baye
Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
-
D.
Barbara Sukowa
Barbara Sukowa is a German actress renowned for her intense, intellectual performances in European cinema and television, particularly in historical and biographical roles.
-
E.
Christa Ludwig
Christa Ludwig was a renowned German mezzo-soprano celebrated for her versatile operatic and lieder performances throughout the mid-20th century.
- 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: Barbara Janssen Triple: [Thomas Bladen, spouse, Barbara Janssen]
Generated description
Barbara Janssen is known as the spouse of British civil servant and intelligence officer Thomas Bladen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Janssen Target entity description: Barbara Janssen is known as the spouse of British civil servant and intelligence officer Thomas Bladen.
-
A.
Hannelore Menzel
Hannelore Menzel is a German actress known for her work in mid-20th-century film and theater.
-
B.
Brigitte Fassbaender
Brigitte Fassbaender is a renowned German mezzo-soprano and opera director celebrated for her expressive lieder interpretations and distinguished international singing career.
-
C.
Nathalie Baye
Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
-
D.
Barbara Sukowa
Barbara Sukowa is a German actress renowned for her intense, intellectual performances in European cinema and television, particularly in historical and biographical roles.
-
E.
Christa Ludwig
Christa Ludwig was a renowned German mezzo-soprano celebrated for her versatile operatic and lieder performances throughout the mid-20th century.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2c07488190ad07c544cca63a7d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70408b2088190989c3b38a5d66495 |
completed | May 3, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70518acc0819089a987abfd42f928 |
completed | May 3, 2026, 8:19 a.m. |
Created at: April 9, 2026, 9:21 p.m.