Triple
T8446367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulgate Cycle |
E199686
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mort Artu
Mort Artu is a medieval French prose romance that recounts the tragic end of King Arthur’s reign and the downfall of the Round Table.
|
E733863
|
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: Mort Artu | Statement: [Vulgate Cycle, hasPart, Mort Artu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Artu Context triple: [Vulgate Cycle, hasPart, Mort Artu]
-
A.
Mr. Vandemar
Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
-
B.
Homer Bigart
Homer Bigart was a Pulitzer Prize–winning American war correspondent renowned for his frontline reporting in conflicts such as World War II, the Korean War, and the Vietnam War.
-
C.
Jules Munshin
Jules Munshin was an American comic actor and singer best known for his energetic musical-comedy roles in mid-20th-century Hollywood films and on Broadway.
-
D.
Lyonel
Lyonel is a masculine given name most notably borne by the German-American painter and caricaturist Lyonel Feininger.
-
E.
Mort Nathan
Mort Nathan is an American television writer, producer, and director best known for his work on the hit sitcom "The Golden Girls."
- 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: Mort Artu Triple: [Vulgate Cycle, hasPart, Mort Artu]
Generated description
Mort Artu is a medieval French prose romance that recounts the tragic end of King Arthur’s reign and the downfall of the Round Table.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mort Artu Target entity description: Mort Artu is a medieval French prose romance that recounts the tragic end of King Arthur’s reign and the downfall of the Round Table.
-
A.
Mr. Vandemar
Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
-
B.
Homer Bigart
Homer Bigart was a Pulitzer Prize–winning American war correspondent renowned for his frontline reporting in conflicts such as World War II, the Korean War, and the Vietnam War.
-
C.
Jules Munshin
Jules Munshin was an American comic actor and singer best known for his energetic musical-comedy roles in mid-20th-century Hollywood films and on Broadway.
-
D.
Lyonel
Lyonel is a masculine given name most notably borne by the German-American painter and caricaturist Lyonel Feininger.
-
E.
Mort Nathan
Mort Nathan is an American television writer, producer, and director best known for his work on the hit sitcom "The Golden Girls."
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3152a3c819092efdeab718def7a |
completed | March 31, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1db6330c81909c853c453fddf3c5 |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:09 p.m.