Triple
T18994511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Bears! |
E464774
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Da Bears! |
—
|
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: Da Bears! | Statement: [Da Bears!, hasTitle, Da Bears!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Bears! Context triple: [Da Bears!, hasTitle, Da Bears!]
-
A.
Da Bears!
chosen
Da Bears! is a sports book by Steve Delsohn that chronicles the history, personalities, and culture of the Chicago Bears football franchise.
-
B.
The Bears
The Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
C.
The Bears
The Bears are an American rock band known for their melodic, guitar-driven sound and for featuring experimental guitarist and singer Adrian Belew.
-
D.
Battlin' Bears
Battlin' Bears is the nickname for the athletic teams representing Rocky Mountain College in collegiate sports.
-
E.
Bears
Bears are large, powerful mammals known for their strength, omnivorous diet, and presence in diverse habitats across the Northern Hemisphere.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.