Triple
T8451045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blonde (2022 film) |
E199797
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Blonde |
E199797
|
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: Blonde | Statement: [Blonde (2022 film), hasTitle, Blonde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blonde Context triple: [Blonde (2022 film), hasTitle, Blonde]
-
A.
Blonde
Blonde is a 2007 pop album by French singer Alizée that marked a stylistic evolution in her music career.
-
B.
Blonde
chosen
Blonde is a 2022 psychological drama film written and directed by Andrew Dominik, loosely adapting Joyce Carol Oates’s novel to present a fictionalized, impressionistic portrayal of Marilyn Monroe’s life and career.
-
C.
Blonde (novel)
Blonde is a 2000 biographical novel by Joyce Carol Oates that offers a fictionalized, psychologically rich reimagining of the life and inner world of Marilyn Monroe.
-
D.
The Blonde
The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
-
E.
Atomic Blonde
Atomic Blonde is a 2017 action spy thriller film starring Charlize Theron as a lethal MI6 agent navigating espionage and betrayal in Cold War–era Berlin.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44815488190a912d63512e19af0 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39c11a488190b7775002e419eee7 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.