Triple
T872971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live and Let Die |
E18854
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Mr. Big |
E103182
|
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: Mr. Big | Statement: [Live and Let Die, antagonist, Mr. Big]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Big Context triple: [Live and Let Die, antagonist, Mr. Big]
-
A.
Mr. Big
chosen
Mr. Big is the primary villain and drug lord antagonist in the James Bond film and novel "Live and Let Die."
-
B.
Dailey Division
Dailey Division is a designated management and research section within Duke Forest, used for forestry, ecological studies, and conservation activities.
-
C.
Buffalo Bell
Buffalo Bell is a female buffalo mascot character for the Japanese professional baseball team Orix Buffaloes.
-
D.
O Street
O Street is a notable thoroughfare in Sacramento, California, known in part for being home to the Crocker Art Museum.
-
E.
Milwaukee Deep
Milwaukee Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01af9608190b3b735c590024f03 |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.