Triple
T17805920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake |
E444556
|
entity |
| Predicate | semanticOriginOfJacob |
P128989
|
FINISHED |
| Object | may mean “supplanter” or “holder of the heel” |
—
|
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: may mean “supplanter” or “holder of the heel” | Statement: [Jake, semanticOriginOfJacob, may mean “supplanter” or “holder of the heel”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticOriginOfJacob Context triple: [Jake, semanticOriginOfJacob, may mean “supplanter” or “holder of the heel”]
-
A.
depictsOriginOf
Indicates that one entity visually represents or illustrates the source, beginning, or point of origin of another entity.
-
B.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
C.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
D.
physicalOrigin
Indicates that one entity is the place or source from which another entity physically originates or comes into existence.
-
E.
isSometimesOfJewishOrigin
Indicates that the entity is occasionally, but not always, derived from or associated with Jewish origin.
- F. None of above. chosen
Provenance (4 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:14 a.m.