Triple
T158592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King David |
E3231
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David |
E34716
|
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 | Statement: [King David, name, David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Context triple: [King David, name, David]
-
A.
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.
-
B.
David
David is a major city in western Panama and the capital of Chiriquí Province.
-
C.
David
chosen
David is a common given name and surname of Hebrew origin, widely used across many cultures and historically associated with the biblical King David.
-
D.
George
George is the first name of George Washington, the first President of the United States and a key leader in the American Revolutionary War.
-
E.
Martin
Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c40fb3c88190818cc5c2560b1253 |
completed | March 1, 2026, 4:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.