Triple
T16813881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Parker |
E408688
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Lady for a Day |
E191712
|
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: Lady for a Day | Statement: [Jean Parker, appearedIn, Lady for a Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady for a Day Context triple: [Jean Parker, appearedIn, Lady for a Day]
-
A.
Lady for a Day
chosen
Lady for a Day is a 1933 American comedy-drama film directed by Frank Capra, based on a Damon Runyon story about a poor street peddler transformed into a society lady.
-
B.
Lady for Sale
Lady for Sale is the debut studio album by American singer-songwriter and actress Lola Kirke, blending country, pop, and indie influences.
-
C.
A Lady to Love
A Lady to Love is a 1930 American pre-Code romantic drama film adaptation of Sidney Howard’s Pulitzer Prize-winning play They Knew What They Wanted.
-
D.
Paris Can Wait
Paris Can Wait is a romantic comedy film directed by Eleanor Coppola that follows a woman’s spontaneous road trip through France, blending travel, food, and self-discovery.
-
E.
Valley of the Dolls
Valley of the Dolls is a 1967 drama film, based on Jacqueline Susann’s bestselling novel, that follows three women navigating fame, addiction, and personal turmoil in the entertainment industry.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b292a5888190812539b14eb77f34 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.