Triple
T2517385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch Me If You Can |
E55443
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laurie MacDonald |
E278705
|
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: Laurie MacDonald | Statement: [Catch Me If You Can, producer, Laurie MacDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie MacDonald Context triple: [Catch Me If You Can, producer, Laurie MacDonald]
-
A.
Laurie MacDonald
chosen
Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
-
B.
Michelle MacLaren
Michelle MacLaren is a Canadian television director and producer best known for her acclaimed work on series like Breaking Bad and Game of Thrones.
-
C.
Jeanie MacPherson
Jeanie MacPherson was an American screenwriter and actress best known for her long collaboration with director Cecil B. DeMille during the silent and early sound film eras.
-
D.
Mona McKinnon
Mona McKinnon was an American actress best known for her role in Ed Wood’s cult science-fiction film "Plan 9 from Outer Space."
-
E.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2111d28819099884a2bec5e0366 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf3b61fc8190988484bedc5b57a0 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:46 p.m.