Triple
T20188640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falling Down |
E492926
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rachel Ticotin |
—
|
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: Rachel Ticotin | Statement: [Falling Down, starring, Rachel Ticotin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ticotin Context triple: [Falling Down, starring, Rachel Ticotin]
-
A.
Rachel Ticotin
chosen
Rachel Ticotin is an American actress best known for her roles in action and drama films and television series, including a prominent part in the sci-fi film "Total Recall."
-
B.
Laura Savoie
Laura Savoie is an American PhD student and business professional best known for being married to actor Dennis Quaid.
-
C.
Anna Nolin
Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
-
D.
Kate Boutilier
Kate Boutilier is a television and film writer best known for her work on animated series and movies, including co-writing The Wild Thornberrys Movie.
-
E.
Julie LeBreton
Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad404508190981cfb7cab18d8d3 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.