Triple
T15625064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Girls |
E375657
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Julie Walters |
E146605
|
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: Julie Walters | Statement: [Calendar Girls, starring, Julie Walters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Walters Context triple: [Calendar Girls, starring, Julie Walters]
-
A.
Julie Walters
chosen
Julie Walters is an acclaimed English actress known for her versatile performances in film, television, and theatre, including her role as Molly Weasley in the Harry Potter series.
-
B.
Maggie Smith
Maggie Smith is a renowned English actress celebrated for her versatile performances across film, television, and stage, including iconic roles in "Downton Abbey" and the "Harry Potter" series.
-
C.
Louise Plowright
Louise Plowright was a British actress known for her work in television and musical theatre, including notable roles in West End productions.
-
D.
Judi Dench
Judi Dench is an acclaimed English actress renowned for her work in theatre, film, and television, including her Oscar-winning performance in "Shakespeare in Love."
-
E.
Betsy Aidem
Betsy Aidem is an American actress known for her work in film, television, and theater.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.