Triple
T22100767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passport to Pimlico |
E546165
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Sydney Tafler |
—
|
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: Sydney Tafler | Statement: [Passport to Pimlico, starredActor, Sydney Tafler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Tafler Context triple: [Passport to Pimlico, starredActor, Sydney Tafler]
-
A.
Sydney Tafler
chosen
Sydney Tafler was a British character actor known for his prolific film and television work from the 1940s to the 1970s, often portraying sharp-talking or streetwise figures.
-
B.
Alexandra Papenfus
Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
-
C.
Juliana Hatkoff
Juliana Hatkoff is a children's book coauthor known for collaborating with her father, investor and philanthropist Craig Hatkoff, on inspirational animal stories.
-
D.
Samantha Nisenboim
Samantha Nisenboim is a film producer known for her work on the 2023 horror-comedy movie "Renfield."
-
E.
Alexandra Scherer
Alexandra Scherer is a German local politician who serves as the mayor of the spa town Bad Wurzach in Baden-Württemberg.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.