Triple
T3623979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand de Born |
E76792
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Born
De Born is a medieval Occitan noble family name most famously associated with the troubadour and baron Bertrand de Born.
|
E372589
|
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: de Born | Statement: [Bertrand de Born, familyName, de Born]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Born Context triple: [Bertrand de Born, familyName, de Born]
-
A.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
B.
Marius de Vries
Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
-
C.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
D.
Dutch Wagenbach
Dutch Wagenbach is a principled yet often underappreciated detective in the television crime drama "The Shield," known for his intelligence, persistence, and moral integrity amid widespread corruption.
-
E.
Herman Saftleven
Herman Saftleven was a 17th-century Dutch painter and draughtsman known for his detailed river landscapes and topographical views.
- 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: de Born Triple: [Bertrand de Born, familyName, de Born]
Generated description
De Born is a medieval Occitan noble family name most famously associated with the troubadour and baron Bertrand de Born.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Born Target entity description: De Born is a medieval Occitan noble family name most famously associated with the troubadour and baron Bertrand de Born.
-
A.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
B.
Marius de Vries
Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
-
C.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
D.
Dutch Wagenbach
Dutch Wagenbach is a principled yet often underappreciated detective in the television crime drama "The Shield," known for his intelligence, persistence, and moral integrity amid widespread corruption.
-
E.
Herman Saftleven
Herman Saftleven was a 17th-century Dutch painter and draughtsman known for his detailed river landscapes and topographical views.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2d9845c8190ad65b2471000dfa0 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332260cc8190964a15bfee0a3b61 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b435af0f688190ac82dccd487747af |
completed | March 13, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43620aee48190953a413ece0d51fa |
completed | March 13, 2026, 4:06 p.m. |
Created at: March 8, 2026, 3:23 p.m.