Triple
T8195989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic P-47 Thunderbolt |
E191429
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Jug |
E191429
|
NE FINISHED |
How this triple was built (2 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: Jug | Statement: [Republic P-47 Thunderbolt, nickname, Jug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jug Context triple: [Republic P-47 Thunderbolt, nickname, Jug]
-
A.
Jug
chosen
"Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
-
B.
Bottle
Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
-
C.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
D.
Ma Kettle
Ma Kettle is a comically rustic, good-natured farm wife character from the popular mid-20th-century "Ma and Pa Kettle" film series.
-
E.
the Teapot
The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c222e7081908aebce9253cfe515 |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedb3cd488190b87e134dd0426a6d |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:42 p.m.