Triple
T18330331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Be Inc. |
E439120
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Tarana Burke |
—
|
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: Tarana Burke | Statement: [Just Be Inc., founder, Tarana Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarana Burke Context triple: [Just Be Inc., founder, Tarana Burke]
-
A.
Tarana Burke
chosen
Tarana Burke is an American civil rights activist best known for originating the "Me Too" movement to support survivors of sexual violence.
-
B.
Patrisse Cullors
Patrisse Cullors is an American artist, organizer, and activist best known as a co-founder of the Black Lives Matter movement and a prominent advocate against police brutality and racial injustice.
-
C.
Mandisa Glover
Mandisa Glover is the daughter of acclaimed American actor and activist Danny Glover.
-
D.
Rebecca Walker
Rebecca Walker is an American writer, feminist, and cultural critic known for her work on third-wave feminism and issues of race, gender, and identity.
-
E.
Lauren Michelle Hill
Lauren Michelle Hill is an American model and actress best known as a Playboy Playmate and for her appearances in various television shows and films.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ec900808190bc4468270e0957c1 |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:36 a.m.