Triple
T13286043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheaper by the Dozen |
E316446
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Piper Perabo |
E160315
|
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: Piper Perabo | Statement: [Cheaper by the Dozen, starring, Piper Perabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piper Perabo Context triple: [Cheaper by the Dozen, starring, Piper Perabo]
-
A.
Piper Perabo
chosen
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Megan Fairchild
Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
-
D.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
-
E.
Missi Pyle
Missi Pyle is an American actress and singer known for her comedic and character roles in films such as "Galaxy Quest," "Dodgeball," and "Charlie and the Chocolate Factory."
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990759ebc8190a9487a59e37a69e2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305e1d70819096ff9784e9fafde9 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:27 p.m.