Triple
T19647850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truth Be Told |
E471727
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Haneefah Wood |
—
|
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: Haneefah Wood | Statement: [Truth Be Told, star, Haneefah Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haneefah Wood Context triple: [Truth Be Told, star, Haneefah Wood]
-
A.
Haneefah Wood
chosen
Haneefah Wood is an American actress known for her work in television comedies and dramas, including prominent roles in series such as Zoe Ever After.
-
B.
Rashidah Ali
Rashidah Ali is a reality television personality and entrepreneur best known for her appearances on VH1’s "Love & Hip Hop" franchise.
-
C.
Amina Baraka
Amina Baraka is an American poet, actress, and community activist closely associated with the Black Arts Movement and the Newark arts scene.
-
D.
Nafisa Ali
Nafisa Ali is an Indian actress, former Miss India, and social activist known for her roles in Hindi cinema and her work in public life.
-
E.
Karimah Westbrook
Karimah Westbrook is an American actress best known for her prominent role on the television drama series "All American."
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.