Triple
T1359279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-16 Fighting Falcon |
E29060
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Viper
Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
|
E156234
|
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: Viper | Statement: [F-16 Fighting Falcon, nickname, Viper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viper Context triple: [F-16 Fighting Falcon, nickname, Viper]
-
A.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Storm Shadow
Storm Shadow is a long-range, air-launched cruise missile designed for precision strikes against high-value, hardened targets.
-
C.
K9 Vidar
K9 Vidar is an upgraded variant of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced firepower, mobility, and modernized systems for improved battlefield performance.
-
D.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
E.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
- 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: Viper Triple: [F-16 Fighting Falcon, nickname, Viper]
Generated description
Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viper Target entity description: Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
-
A.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Storm Shadow
Storm Shadow is a long-range, air-launched cruise missile designed for precision strikes against high-value, hardened targets.
-
C.
K9 Vidar
K9 Vidar is an upgraded variant of the South Korean K9 Thunder self-propelled howitzer, featuring enhanced firepower, mobility, and modernized systems for improved battlefield performance.
-
D.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
E.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce725fec819085f6de8e6e368aa4 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf9ac120819084c21fb7b88c050a |
completed | March 8, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accff8af488190a7580cf7c02ceed9 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:56 p.m.