Triple
T20334813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Pen |
E492581
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Tracey 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: Tracey Lee | Statement: [Queen Pen, associatedAct, Tracey Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Lee Context triple: [Queen Pen, associatedAct, Tracey Lee]
-
A.
Tracey Lee
chosen
Tracey Lee is an American rapper and songwriter best known for his late-1990s work in East Coast hip hop, including the hit single "The Theme (It's Party Time)."
-
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.
Teri Lee
Teri Lee is a sharp-tongued, efficient legal assistant and loyal friend in the television series "Drop Dead Diva."
-
D.
Joie Lee
Joie Lee is an American actress, screenwriter, and producer best known for her frequent collaborations with her brother Spike Lee in films exploring African-American life and culture.
-
E.
Christy Lee
Christy Lee is a fictional character portrayed by actress Brenda Song, best known as a supporting role in the 2010 film "The Social Network."
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ea8a088190b2b37accd6b24277 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.