Triple
T13694596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustle & Flow |
E328351
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Elise Neal |
E870359
|
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: Elise Neal | Statement: [Hustle & Flow, starring, Elise Neal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elise Neal Context triple: [Hustle & Flow, starring, Elise Neal]
-
A.
Elise Neal
chosen
Elise Neal is an American actress best known for her work in film and television, including prominent roles in 1990s and 2000s sitcoms and dramas.
-
B.
Elise Mills
Elise Mills was a member of the prominent Mills family, known primarily as the daughter of influential American financier and philanthropist Darius Ogden Mills.
-
C.
Elise McKenna
Elise McKenna is the fictional early-20th-century stage actress who serves as the central love interest in the time-travel romance film "Somewhere in Time."
-
D.
Elise Pearlstein
Elise Pearlstein is an American film producer best known for her work on acclaimed documentaries, including the Oscar-nominated "Food, Inc."
-
E.
Elise Kraft
Elise Kraft is the central FBI agent protagonist in the 1998 political thriller film "The Siege," navigating the moral and legal tensions of counterterrorism in New York City.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b063661481908da569084c20f37c |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.