Triple
T3101930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikoyan-Gurevich MiG-23 |
E64737
|
entity |
| Predicate | natoReportingName |
P6062
|
FINISHED |
| Object |
Flogger
Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
|
E326694
|
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: Flogger | Statement: [Mikoyan-Gurevich MiG-23, natoReportingName, Flogger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flogger Context triple: [Mikoyan-Gurevich MiG-23, natoReportingName, Flogger]
-
A.
Flahooley
Flahooley is a 1951 satirical Broadway musical known for its sharp political commentary and score by composer Sammy Fain with lyrics by E. Y. Harburg.
-
B.
Follaz
Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
-
C.
Shagbat
Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
-
D.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
E.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
- 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: Flogger Triple: [Mikoyan-Gurevich MiG-23, natoReportingName, Flogger]
Generated description
Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flogger Target entity description: Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
-
A.
Flahooley
Flahooley is a 1951 satirical Broadway musical known for its sharp political commentary and score by composer Sammy Fain with lyrics by E. Y. Harburg.
-
B.
Follaz
Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
-
C.
Shagbat
Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
-
D.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
E.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203809fac81908047b1139b13cb04 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20532b7388190be5f7bcf48db6f45 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2058d7c4c8190a44fc8745df3b1b3 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.