Triple
T5205929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William of Malmesbury |
E117510
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Vita Aldhelmi
Vita Aldhelmi is a medieval Latin hagiographical biography of St Aldhelm written by the English historian and monk William of Malmesbury.
|
E505620
|
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: Vita Aldhelmi | Statement: [William of Malmesbury, notableWork, Vita Aldhelmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vita Aldhelmi Context triple: [William of Malmesbury, notableWork, Vita Aldhelmi]
-
A.
Vita Wulfstani
Vita Wulfstani is a medieval Latin hagiographical biography of St. Wulfstan of Worcester, written by the historian William of Malmesbury.
-
B.
Marcella Araica
Marcella Araica is an American recording and mixing engineer and producer known for her work with major pop and R&B artists.
-
C.
Jetta Goudal
Jetta Goudal was a prominent Dutch-born silent film actress of the 1920s known for her exotic screen presence and dramatic roles in Hollywood cinema.
-
D.
Vita Havet
Vita Havet is an elegant ceremonial hall within Stockholm Palace, used for official receptions and royal events.
-
E.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
- 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: Vita Aldhelmi Triple: [William of Malmesbury, notableWork, Vita Aldhelmi]
Generated description
Vita Aldhelmi is a medieval Latin hagiographical biography of St Aldhelm written by the English historian and monk William of Malmesbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vita Aldhelmi Target entity description: Vita Aldhelmi is a medieval Latin hagiographical biography of St Aldhelm written by the English historian and monk William of Malmesbury.
-
A.
Vita Wulfstani
Vita Wulfstani is a medieval Latin hagiographical biography of St. Wulfstan of Worcester, written by the historian William of Malmesbury.
-
B.
Marcella Araica
Marcella Araica is an American recording and mixing engineer and producer known for her work with major pop and R&B artists.
-
C.
Jetta Goudal
Jetta Goudal was a prominent Dutch-born silent film actress of the 1920s known for her exotic screen presence and dramatic roles in Hollywood cinema.
-
D.
Vita Havet
Vita Havet is an elegant ceremonial hall within Stockholm Palace, used for official receptions and royal events.
-
E.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a490338819080481df79d3aae01 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7fcae508190bffd21937488d674 |
completed | March 21, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69bef933c4008190bea3a5a7e5de17e6 |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9a600908190bdaff60b7a514538 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:47 p.m.