Triple
T9282805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Tawadros II |
E223110
|
entity |
| Predicate | professionBeforeMonasticLife |
P87379
|
FINISHED |
| Object | pharmacist |
—
|
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: pharmacist | Statement: [Pope Tawadros II, professionBeforeMonasticLife, pharmacist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionBeforeMonasticLife Context triple: [Pope Tawadros II, professionBeforeMonasticLife, pharmacist]
-
A.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
-
B.
occupationBeforeEpiscopacy
Indicates the role or occupation a person held prior to becoming a bishop or entering episcopal office.
-
C.
roleInMonasticism
Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
-
D.
monasticLife
Indicates a relationship where an entity lives according to monastic rules, practices, and commitments, typically within a religious community.
-
E.
associatedSaintOccupation
Indicates the occupation or role that is linked to or held by a particular saint.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081d60a88190b49b040d0e7415bf |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:34 p.m.