Triple
T17810919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Bingum |
E444700
|
entity |
| Predicate | colleague |
P398
|
FINISHED |
| Object | Teri Lee |
—
|
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: Teri Lee | Statement: [Jane Bingum, colleague, Teri Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teri Lee Context triple: [Jane Bingum, colleague, Teri Lee]
-
A.
Teri Lee
chosen
Teri Lee is a sharp-tongued, efficient legal assistant and loyal friend in the television series "Drop Dead Diva."
-
B.
Wendee Lee
Wendee Lee is an American voice actress best known for her prolific work in English-dubbed anime and video games, including iconic roles such as Faye Valentine in Cowboy Bebop.
-
C.
Shannon Lee
Shannon Lee is an American actress, martial artist, and businesswoman, best known as the daughter of Bruce Lee and for overseeing her father's legacy through the Bruce Lee Foundation.
-
D.
Teri Duncan
Teri Duncan is a character in the legal drama film "The Mauritanian," involved in the story surrounding the imprisonment and defense of Mohamedou Ould Slahi at Guantánamo Bay.
-
E.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887b5e50819098506f0b92d709b5 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.