Triple
T7481684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatian |
E176772
|
entity |
| Predicate | DiatessaronInfluence |
P5472
|
FINISHED |
| Object | widely used in the Syriac-speaking churches |
—
|
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: widely used in the Syriac-speaking churches | Statement: [Tatian, DiatessaronInfluence, widely used in the Syriac-speaking churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DiatessaronInfluence Context triple: [Tatian, DiatessaronInfluence, widely used in the Syriac-speaking churches]
-
A.
doctrinalInfluenceOn
Indicates that one doctrine has influenced, shaped, or contributed to the development of another doctrine.
-
B.
textualBasisNewTestament
Indicates that something is based on, derived from, or justified by a text from the New Testament.
-
C.
sharesNewTestamentCanonWith
Indicates that two entities recognize and use the same set of New Testament canonical books.
-
D.
textBasisNewTestament
chosen
Indicates that a text is based on, derived from, or grounded in the New Testament.
-
E.
influencedByTheologian
Indicates that an entity’s ideas, beliefs, or work are shaped or significantly affected by the teachings or writings of a theologian.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f534aa388190b3bb3e16be3a54c8 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.