Triple
T1649010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Justice Act of 2016 |
E35648
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MJA 2016
MJA 2016 is a major U.S. federal law that modernized and reformed the military justice system, including courts-martial procedures and service members’ legal rights.
|
E185700
|
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: MJA 2016 | Statement: [Military Justice Act of 2016, shortName, MJA 2016]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MJA 2016 Context triple: [Military Justice Act of 2016, shortName, MJA 2016]
-
A.
JMR
JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic systems.
-
B.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
C.
JACMP
JACMP is a peer-reviewed scientific journal focusing on the practical and clinical applications of medical physics in healthcare.
-
D.
JASA
JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
-
E.
BMA
BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
- 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: MJA 2016 Triple: [Military Justice Act of 2016, shortName, MJA 2016]
Generated description
MJA 2016 is a major U.S. federal law that modernized and reformed the military justice system, including courts-martial procedures and service members’ legal rights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MJA 2016 Target entity description: MJA 2016 is a major U.S. federal law that modernized and reformed the military justice system, including courts-martial procedures and service members’ legal rights.
-
A.
JMR
JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic systems.
-
B.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
C.
JACMP
JACMP is a peer-reviewed scientific journal focusing on the practical and clinical applications of medical physics in healthcare.
-
D.
JASA
JASA is a leading peer-reviewed scientific journal that publishes research on the science and applications of acoustics.
-
E.
BMA
BMA is the IATA airport code for Stockholm Bromma Airport, a regional airport serving Stockholm, Sweden.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a6537e0819082b966023e0c0583 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a73a288190a659e2a1f09ba524 |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61323b308190b883c4bf2c3ca1bf |
completed | March 8, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad622d695481909351a9c80f8d646f |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.