Triple
T32530993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses at the burning bush |
E831451
|
entity |
| Predicate | MosesEmployerAtTime |
P125493
|
FINISHED |
| Object | Jethro |
—
|
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: Jethro | Statement: [Moses at the burning bush, MosesEmployerAtTime, Jethro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MosesEmployerAtTime Context triple: [Moses at the burning bush, MosesEmployerAtTime, Jethro]
-
A.
employedAtTime
chosen
Indicates that an employment relationship holds during a specified time or time interval.
-
B.
workedAsClergymanIn
Indicates that a person served in a religious or clerical role within a specified place or institution.
-
C.
timeOfMainOccupation
Indicates the specific time period during which an entity primarily carries out its main occupation or activity.
-
D.
hasOccupationDuringStory
Indicates that an entity holds or performs a particular occupation or job role during the time span covered by the story.
-
E.
hasEmployerDuringWorldWarII
Indicates that an individual was employed by a specific employer during the time period of World War II.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:01 a.m.