Triple
T16161800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Box Office |
E392196
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Vivica A. Fox |
E150547
|
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: Vivica A. Fox | Statement: [Mr. Box Office, stars, Vivica A. Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivica A. Fox Context triple: [Mr. Box Office, stars, Vivica A. Fox]
-
A.
Vivica A. Fox
chosen
Vivica A. Fox is an American actress and producer known for her roles in films such as Independence Day, Set It Off, and Kill Bill, as well as numerous television series.
-
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.
Lynne Brimley
Lynne Brimley is best known as the wife of American character actor Wilford Brimley.
-
E.
Nia Long
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."
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b33f3481909fe856b8be7d9bcd |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.