Triple
T23101557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Hands |
E576042
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Susie Porter |
—
|
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: Susie Porter | Statement: [Two Hands, starring, Susie Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Porter Context triple: [Two Hands, starring, Susie Porter]
-
A.
Susie Porter
chosen
Susie Porter is an Australian actress known for her work in film and television, often acclaimed for her intense and nuanced performances.
-
B.
Susie Conklin
Susie Conklin is a British television producer and writer known for her work on period dramas such as the adaptation of Elizabeth Gaskell’s "Cranford."
-
C.
Susie Bannion
Susie Bannion is the young American dancer who becomes entangled with a coven of witches at a prestigious Berlin dance academy in the 2018 horror film "Suspiria."
-
D.
Susie Sprague
Susie Sprague is an American model and actress best known for her work in glamour modeling and for her high-profile marriage to actor Corey Feldman.
-
E.
Mary Portser
Mary Portser is an American actress best known for her role in the acclaimed independent film "Passion Fish."
- 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_69f18de9fa8c81909fd26ff37173b85b |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.