Triple
T1742699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daredevils of Sassoun |
E38266
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | David of Sassoun |
E193085
|
NE FINISHED |
How this triple was built (2 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: David of Sassoun | Statement: [Daredevils of Sassoun, hasCharacter, David of Sassoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David of Sassoun Context triple: [Daredevils of Sassoun, hasCharacter, David of Sassoun]
-
A.
David of Sassoun
chosen
David of Sassoun is a legendary Armenian folk hero and epic warrior celebrated for his superhuman strength and defense of his homeland in the medieval national epic.
-
B.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
C.
Godfrey
Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
-
D.
Llewelyn
Llewelyn is a Welsh given name of Celtic origin traditionally used for males.
-
E.
David
David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c836d48190bd44ea24977aba2d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0dbc7c081909d637c5a482389ef |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.