Triple
T15435893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in America |
E369760
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nia Long |
E372699
|
NE FINISHED |
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: Nia Long | Statement: [Made in America, starring, Nia Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nia Long Context triple: [Made in America, starring, Nia Long]
-
A.
Nia Long
chosen
Nia Long is an American actress known for her roles in films like "Boyz n the Hood," "Love Jones," and "The Best Man," as well as the TV series "The Fresh Prince of Bel-Air."
-
B.
Nicole Ari Parker
Nicole Ari Parker is an American actress known for her roles in film and television, including prominent performances in romantic comedies and dramas.
-
C.
Sharley Hudson
Sharley Hudson was the wife of American character actor Keenan Wynn.
-
D.
Nicolette Robinson
Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
-
E.
T'Nia Miller
T'Nia Miller is a British actress known for her powerful performances in television dramas such as "The Haunting of Bly Manor," "Years and Years," and various other genre and prestige series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.