Triple
T14285199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mat |
E354151
|
entity |
| Predicate | meaningViaMatthew |
P113609
|
FINISHED |
| Object | gift of God |
—
|
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: gift of God | Statement: [Mat, meaningViaMatthew, gift of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningViaMatthew Context triple: [Mat, meaningViaMatthew, gift of God]
-
A.
meaningViaJoshua
Indicates that something is understood, interpreted, or conveyed through the perspective, explanation, or mediation of Joshua.
-
B.
meaningViaLeonard
Indicates that something has a particular meaning or interpretation as conveyed or defined by Leonard.
-
C.
meaningViaAndrzej
Indicates that something’s meaning or interpretation is conveyed, mediated, or understood specifically through Andrzej.
-
D.
meaningViaPatricia
Indicates that something’s meaning, interpretation, or understanding is conveyed, mediated, or determined through an intermediary named Patricia.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.