Triple
T2863104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Chapters |
E63372
|
entity |
| Predicate | perceivedTendency |
P19224
|
FINISHED |
| Object | Nestorian tendencies |
—
|
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: Nestorian tendencies | Statement: [Three Chapters, perceivedTendency, Nestorian tendencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedTendency Context triple: [Three Chapters, perceivedTendency, Nestorian tendencies]
-
A.
hasTendency
chosen
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
B.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
C.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
E.
socialOrientation
Indicates the nature or direction of an entity’s social tendencies, such as how it typically relates to, interacts with, or aligns itself within social contexts or groups.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb6e6988190b832ee05d8420633 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.