Triple
T2217849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Lemmon |
E48072
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Irma la Douce |
E107741
|
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: Irma la Douce | Statement: [Jack Lemmon, notableWork, Irma la Douce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irma la Douce Context triple: [Jack Lemmon, notableWork, Irma la Douce]
-
A.
Irma la Douce
chosen
Irma la Douce is a 1963 romantic comedy film starring Jack Lemmon and Shirley MacLaine, adapted from the French stage musical of the same name.
-
B.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
C.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
D.
Madeleine
Madeleine is a feminine given name, commonly used in French and English, derived from Magdalene and often associated with literary and cultural figures.
-
E.
Irma de Volán
Irma de Volán was the wife of American film director Lloyd Bacon, who was known for his prolific work in Hollywood during the early to mid-20th century.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc010bd4c8190ace293b37eac1de5 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655b369c8190a5d12b87401534d7 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.