Triple
T9112232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben |
E218629
|
entity |
| Predicate | derivedFromNameElement |
P63662
|
FINISHED |
| Object | ben- (Hebrew for son of) |
—
|
LITERAL 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: ben- (Hebrew for son of) | Statement: [Ben, derivedFromNameElement, ben- (Hebrew for son of)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivedFromNameElement Context triple: [Ben, derivedFromNameElement, ben- (Hebrew for son of)]
-
A.
commonNameDerivedFrom
Indicates that the commonly used name of one entity originates from, or is derived based on, another entity.
-
B.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
C.
isDerivedFromGivenName
chosen
Indicates that one entity originates from, or is formed based on, a specified given (first) name.
-
D.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
-
E.
hasNameElementType
Indicates that something includes a specific type or category of element within its name.
- F. None of above.
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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.