Triple
T35310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judaism |
E699
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object |
King David
King David is the second king of ancient Israel, revered in Judaism as a foundational monarch, warrior, and psalmist whose dynasty is central to Jewish messianic tradition.
|
E3231
|
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: King David | Statement: [Judaism, hasKeyFigure, King David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King David Context triple: [Judaism, hasKeyFigure, King David]
-
A.
King
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
-
B.
Joseph
Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
-
C.
Edwin
Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
-
D.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
E.
Herbert
Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
- 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: King David Triple: [Judaism, hasKeyFigure, King David]
Generated description
King David is the second king of ancient Israel, revered in Judaism as a foundational monarch, warrior, and psalmist whose dynasty is central to Jewish messianic tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King David Target entity description: King David is the second king of ancient Israel, revered in Judaism as a foundational monarch, warrior, and psalmist whose dynasty is central to Jewish messianic tradition.
-
A.
King
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
-
B.
Joseph
Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
-
C.
Edwin
Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
-
D.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
E.
Herbert
Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24886d3208190bec30070a361666d |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e607c5c8190b10af5106685b3c6 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24f2f57fc8190a525ac39c960f082 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fca983c8190a62b8820645d2d2c |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.