Triple
T8501235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystery Writers of America |
E201219
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MWA
MWA is the commonly used abbreviation for Mystery Writers of America, a prominent organization dedicated to crime and mystery writers.
|
E739127
|
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: MWA | Statement: [Mystery Writers of America, abbreviation, MWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MWA Context triple: [Mystery Writers of America, abbreviation, MWA]
-
A.
M-Wave
M-Wave is an indoor speed skating arena in Nagano, Japan, best known for hosting the speed skating events at the 1998 Winter Olympics.
-
B.
WMC
WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
-
C.
WMC
WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
-
D.
WMC
WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
-
E.
MAU
MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
- 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: MWA Triple: [Mystery Writers of America, abbreviation, MWA]
Generated description
MWA is the commonly used abbreviation for Mystery Writers of America, a prominent organization dedicated to crime and mystery writers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MWA Target entity description: MWA is the commonly used abbreviation for Mystery Writers of America, a prominent organization dedicated to crime and mystery writers.
-
A.
M-Wave
M-Wave is an indoor speed skating arena in Nagano, Japan, best known for hosting the speed skating events at the 1998 Winter Olympics.
-
B.
WMC
WMC is the World Muaythai Council, the leading international governing body responsible for regulating and promoting professional Muay Thai worldwide.
-
C.
WMC
WMC is the commonly used abbreviation for the World Methodist Council, a worldwide association of Methodist churches and related denominations.
-
D.
WMC
WMC is the IATA airport code for Winnemucca Municipal Airport, a public airport serving the Winnemucca area in Nevada, United States.
-
E.
MAU
MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59ad65c8190a2b8e6d22269853a |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e1da7388190855ccd2e4292fd26 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce4ff88ff48190a5641635187a9e4f |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50fd3150819097562093bee78a6d |
completed | April 2, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:14 p.m.