Triple
T22797897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardelia Mapp |
E564298
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kasi Lemmons |
—
|
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: Kasi Lemmons | Statement: [Ardelia Mapp, portrayedBy, Kasi Lemmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasi Lemmons Context triple: [Ardelia Mapp, portrayedBy, Kasi Lemmons]
-
A.
Kasi Lemmons
chosen
Kasi Lemmons is an American film director, screenwriter, and actress known for works such as "Eve's Bayou," "Harriet," and other character-driven dramas exploring African American experiences.
-
B.
Dee Rees
Dee Rees is an acclaimed American filmmaker and screenwriter known for her powerful explorations of race, identity, and sexuality in films such as "Pariah," "Bessie," and "Mudbound."
-
C.
Kate Lemmon
Kate Lemmon is a fictional character who serves as the central protagonist in the comedy film "The Tall Guy."
-
D.
Kathleen Marshall
Kathleen Marshall is an American theatre director and choreographer known for her acclaimed work on Broadway musicals and multiple Tony Award wins.
-
E.
Kathleen Marshall
Kathleen Marshall is an American television director and producer known for her work on series such as "The Odd Couple" and "Fuller House."
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.