Triple
T21154005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeep-Eagle Division |
E521264
|
entity |
| Predicate | marketedBrand |
P1500
|
FINISHED |
| Object | Eagle |
—
|
NE NERFINISHED |
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: [Jeep-Eagle Division, marketedBrand, Eagle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eagle Context triple: [Jeep-Eagle Division, marketedBrand, Eagle]
-
A.
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.
-
B.
Eagle
Eagle is a small town in western Colorado known as a gateway to outdoor recreation in the Rocky Mountains.
-
C.
Eagle
The Eagle is a powerful bird of prey symbolizing strength, freedom, and keen vision, commonly used as a mascot and national emblem.
-
D.
Eagle
"Eagle" is a song featured on ABBA’s 1977 album "The Album," noted for its soaring, atmospheric sound and introspective lyrics.
-
E.
Eagle
chosen
Eagle was an American automobile marque owned by Chrysler that offered rebadged and performance-oriented vehicles primarily during the late 1980s and 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252a48788190bfdfe811fc6cfc06 |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:58 p.m.