Triple
T17244622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missionaries of the Sacred Heart |
E418589
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
M.S.C.
M.S.C. is the post-nominal abbreviation used by members of the Catholic religious congregation known as the Missionaries of the Sacred Heart.
|
E1259666
|
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: M.S.C. | Statement: [Missionaries of the Sacred Heart, hasAbbreviation, M.S.C.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M.S.C. Context triple: [Missionaries of the Sacred Heart, hasAbbreviation, M.S.C.]
-
A.
MCSC
MCSC is a public school district serving the Merrillville, Indiana community.
-
B.
MCSC
MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
-
C.
MCS
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
-
D.
MCS
MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
-
E.
MCS
MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
- 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: M.S.C. Triple: [Missionaries of the Sacred Heart, hasAbbreviation, M.S.C.]
Generated description
M.S.C. is the post-nominal abbreviation used by members of the Catholic religious congregation known as the Missionaries of the Sacred Heart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M.S.C. Target entity description: M.S.C. is the post-nominal abbreviation used by members of the Catholic religious congregation known as the Missionaries of the Sacred Heart.
-
A.
MCSC
MCSC is a public school district serving the Merrillville, Indiana community.
-
B.
MCSC
MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
-
C.
MCS
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
-
D.
MCS
MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
-
E.
MCS
MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e22fb2c8190aea5d3872095bf46 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f5582c81908efb7a369a096aeb |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017351db88819097bfbec41920a488 |
completed | May 11, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0175f8c7d48190896f375385829a34 |
completed | May 11, 2026, 6:23 a.m. |
Created at: April 10, 2026, 5:39 a.m.