Triple
T12993605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diary of Anne Frank (1959 film) |
E321975
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Millie Perkins |
E834030
|
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: Millie Perkins | Statement: [The Diary of Anne Frank (1959 film), stars, Millie Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millie Perkins Context triple: [The Diary of Anne Frank (1959 film), stars, Millie Perkins]
-
A.
Millie Perkins
chosen
Millie Perkins is an American actress best known for her breakthrough role as Anne Frank in the 1959 film adaptation of "The Diary of Anne Frank."
-
B.
Margot Pipkin
Margot Pipkin is a film producer known for her work on the animated feature "Mickey, Donald, Goofy: The Three Musketeers."
-
C.
Margot Merrill
Margot Merrill is the adopted daughter of legendary American actress Bette Davis (born Ruth Elizabeth Davis).
-
D.
Molly Blane
Molly Blane is a key member of the covert military team in the television series "The Unit," known for her resilience and role within the soldiers’ family network.
-
E.
Jo Harlow
Jo Harlow is a technology executive best known for leading mobile device and smartphone businesses at companies such as Nokia and later Microsoft.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fd5f44819087df1163b8f703ec |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:44 p.m.