Triple
T5268820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abednego |
E119204
|
entity |
| Predicate | groupOf |
P45688
|
FINISHED |
| Object | three Hebrew youths |
—
|
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: three Hebrew youths | Statement: [Abednego, groupOf, three Hebrew youths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupOf Context triple: [Abednego, groupOf, three Hebrew youths]
-
A.
peopleGroupWithin
Indicates that one group of people is geographically or organizationally contained within another group of people.
-
B.
peopleGroupOf
chosen
Indicates that one entity is a group or collection composed of the people represented by the other entity.
-
C.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
D.
coveredGroup
Indicates that one group or set is included within, or has its members protected or accounted for by, another group or arrangement.
-
E.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.