Triple
T3230502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Luke Concanen |
E67725
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
|
E340765
|
NE FINISHED |
How this triple was built (4 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: O.P. | Statement: [R. Luke Concanen, honorificSuffix, O.P.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O.P. Context triple: [R. Luke Concanen, honorificSuffix, O.P.]
-
A.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
B.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
C.
OPR
OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
-
D.
OPA
OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
-
E.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: O.P. Triple: [R. Luke Concanen, honorificSuffix, O.P.]
Generated description
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O.P. Target entity description: O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
A.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
B.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
C.
OPR
OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
-
D.
OPA
OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
-
E.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
- F. None of above. chosen
Provenance (5 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb99e088190a8eeca2ca53707e7 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2772e3e2081908dec43f8e4a2fb51 |
completed | March 12, 2026, 8:19 a.m. |
| NEDg | Description generation | batch_69b27b9e39f881909627b004494856e2 |
completed | March 12, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bf5514081909418ba6740240c0a |
completed | March 12, 2026, 8:40 a.m. |
Created at: March 8, 2026, 3:08 p.m.