Triple
T5582275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle |
E146666
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | Eagle |
E198200
|
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: Eagle | Statement: [Eagle, callsign, Eagle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eagle Context triple: [Eagle, callsign, Eagle]
-
A.
Eagle
The Eagle is a historic U.S. gold coin denomination, traditionally valued at ten dollars and widely minted in the 19th and early 20th centuries.
-
B.
Eagle
Eagle was the Apollo 11 lunar module that carried astronauts Neil Armstrong and Buzz Aldrin to the first crewed landing on the Moon in 1969.
-
C.
Eagle
chosen
Eagle is the common nickname for the McDonnell Douglas F-15, a highly maneuverable American twin-engine tactical fighter aircraft renowned for its air superiority capabilities.
-
D.
Eagle
In Haida mythology, Eagle is a powerful and revered supernatural being often associated with strength, vision, and a close connection between the human and spirit worlds.
-
E.
Eagle
Eagle is a small town in western Colorado known as a gateway to outdoor recreation in the Rocky Mountains.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285e7bc08190bd5a08c50679e9d9 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.