Triple
T14456216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priory of Sion |
E358464
|
entity |
| Predicate | isRecognizedByScholarsAs |
P67773
|
FINISHED |
| Object | modern hoax |
—
|
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: modern hoax | Statement: [Priory of Sion, isRecognizedByScholarsAs, modern hoax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecognizedByScholarsAs Context triple: [Priory of Sion, isRecognizedByScholarsAs, modern hoax]
-
A.
questionedByScholars
chosen
Indicates that the subject has been critically examined, challenged, or doubted by scholars or academic researchers.
-
B.
hasAcademicRecognition
Indicates that an entity has received some form of academic honor, award, or formal recognition from an educational or scholarly institution.
-
C.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
D.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
-
E.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.