Triple
T19982923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn (2015 film) |
E493861
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jessica Paré |
—
|
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: Jessica Paré | Statement: [Brooklyn (2015 film), castMember, Jessica Paré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Paré Context triple: [Brooklyn (2015 film), castMember, Jessica Paré]
-
A.
Jessica Paré
chosen
Jessica Paré is a Canadian actress best known for her role as Megan Draper on the television series "Mad Men."
-
B.
Vanessa Marcil
Vanessa Marcil is an American actress best known for her roles on the television series "General Hospital," "Beverly Hills, 90210," and "Las Vegas."
-
C.
Anna Paquin
Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
-
D.
Kathrine Narducci
Kathrine Narducci is an American actress best known for her roles in Italian-American crime dramas, including prominent parts in films and television series such as The Sopranos.
-
E.
Lindsay Noseworth
Lindsay Noseworth is a fictional aeronaut and member of the skyfaring boy-adventurer crew in Thomas Pynchon's "Chums of Chance" stories.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.