Triple
T29881396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus 35 |
E758886
|
entity |
| Predicate | mainHumanFigure |
P61746
|
FINISHED |
| Object | Moses |
—
|
NE NERFINISHED |
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: Moses | Statement: [Exodus 35, mainHumanFigure, Moses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainHumanFigure Context triple: [Exodus 35, mainHumanFigure, Moses]
-
A.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
B.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
-
C.
isHuman
Indicates that the subject entity possesses the defining characteristics or status of being a human.
-
D.
containsHumanFigures
chosen
Indicates that the subject includes one or more human figures within its content or composition.
-
E.
positionOfMainFigure
Indicates the spatial location or placement of the primary or most important figure within a scene or composition.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:58 p.m.