Triple
T13286049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheaper by the Dozen |
E316446
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Liliana Mumy |
E949980
|
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: Liliana Mumy | Statement: [Cheaper by the Dozen, starring, Liliana Mumy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liliana Mumy Context triple: [Cheaper by the Dozen, starring, Liliana Mumy]
-
A.
Liliana Mumy
chosen
Liliana Mumy is an American actress and voice actress known for her roles in family films and animated television series such as "Cheaper by the Dozen" and "The Loud House."
-
B.
Irina Malandina
Irina Malandina is a former Russian flight attendant best known as the ex-wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
-
C.
Miriam Svet
Miriam Svet was the wife of American film producer and studio executive Dore Schary.
-
D.
Ludmila Mikaël
Ludmila Mikaël is a French actress known for her work in film, theatre, and television since the late 1960s.
-
E.
Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
- 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_69f71f20d7188190bb8643a7e17aba5c |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:27 p.m.