Triple
T5667536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Medal of Honor |
E124891
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MOH
MOH is the commonly used abbreviation for the United States Air Force’s highest military decoration awarded for extraordinary acts of valor.
|
E538880
|
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: MOH | Statement: [Air Force Medal of Honor, abbreviation, MOH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOH Context triple: [Air Force Medal of Honor, abbreviation, MOH]
-
A.
MOAH
MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
-
B.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
-
C.
M.O.
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
-
D.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
E.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
- 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: MOH Triple: [Air Force Medal of Honor, abbreviation, MOH]
Generated description
MOH is the commonly used abbreviation for the United States Air Force’s highest military decoration awarded for extraordinary acts of valor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOH Target entity description: MOH is the commonly used abbreviation for the United States Air Force’s highest military decoration awarded for extraordinary acts of valor.
-
A.
MOAH
MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
-
B.
M.O.
M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
-
C.
M.O.
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
-
D.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
E.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023471f688190acec330596238a50 |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dad0af4819088280f2d97173e9e |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c056a981f881908663c315fe2db829 |
completed | March 22, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0573ca734819098de3376ff93c309 |
completed | March 22, 2026, 8:55 p.m. |
Created at: March 22, 2026, 3:43 p.m.