Triple
T23100577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothika |
E576010
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Halle Berry |
—
|
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: Halle Berry | Statement: [Gothika, leadActor, Halle Berry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halle Berry Context triple: [Gothika, leadActor, Halle Berry]
-
A.
Halle Berry
chosen
Halle Berry is an American actress and former fashion model acclaimed for her groundbreaking, award-winning performances in film and television.
-
B.
Charlize Theron
Charlize Theron is an Academy Award–winning South African–American actress and producer known for her versatile performances in films such as "Monster," "Mad Max: Fury Road," and "Atomic Blonde."
-
C.
Jennifer Raines
Jennifer Raines is a musician best known as a former member of the American psychedelic rock band The Black Angels.
-
D.
Jennifer Diane Lewis
Jennifer Diane Lewis is an American singer-songwriter, musician, and actress best known as the lead vocalist of the indie rock band Rilo Kiley and for her acclaimed solo albums.
-
E.
Renée Zellweger
Renée Zellweger is an Academy Award–winning American actress best known for her versatile performances in films such as Jerry Maguire, Chicago, and the Bridget Jones series.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.