Triple
T16949025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeants Major Course |
E411136
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
SMC
SMC is the U.S. Army’s premier professional military education course for senior noncommissioned officers, focused on developing strategic-level leadership and management skills.
|
E1241663
|
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: SMC | Statement: [Sergeants Major Course, acronym, SMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMC Context triple: [Sergeants Major Course, acronym, SMC]
-
A.
SMC
SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
-
B.
SMC
SMC is the commonly used abbreviation for Stade Malherbe Caen, a professional French football club based in Caen, Normandy.
-
C.
SEMCO
SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
-
D.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
E.
Smartron
Smartron is a standardized, cost-optimized electric locomotive model derived from Siemens’ Vectron platform and tailored for specific freight and passenger operations.
- 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: SMC Triple: [Sergeants Major Course, acronym, SMC]
Generated description
SMC is the U.S. Army’s premier professional military education course for senior noncommissioned officers, focused on developing strategic-level leadership and management skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMC Target entity description: SMC is the U.S. Army’s premier professional military education course for senior noncommissioned officers, focused on developing strategic-level leadership and management skills.
-
A.
SMC
SMC is a nearby dwarf irregular galaxy and satellite of the Milky Way, visible from the Southern Hemisphere and important for studies of galactic evolution and stellar populations.
-
B.
SMC
SMC is the commonly used abbreviation for Stade Malherbe Caen, a professional French football club based in Caen, Normandy.
-
C.
SEMCO
SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
-
D.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
E.
Smartron
Smartron is a standardized, cost-optimized electric locomotive model derived from Siemens’ Vectron platform and tailored for specific freight and passenger operations.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb4b1b08190b608d36a209ed6bd |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfeeee948190a5c8904d1f559a28 |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0c0ecc48190b88dcb170926bf16 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d194e9e08190bf0c4c0fe3921978 |
completed | May 10, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:31 a.m.