Triple
T18234062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Learn |
E436621
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Irene Morra |
—
|
NE NERFINISHED |
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: Irene Morra | Statement: [Love and Learn, editedBy, Irene Morra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irene Morra Context triple: [Love and Learn, editedBy, Irene Morra]
-
A.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
-
B.
Irene Morra
chosen
Irene Morra was a film editor known for her work on early 20th-century American cinema, including the Shirley Temple film "The Little Colonel."
-
C.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
-
D.
Maura Del Serra
Maura Del Serra is an Italian writer and playwright known for her contributions to contemporary Italian literature and theater.
-
E.
Caterina Murino
Caterina Murino is an Italian actress and former model best known internationally for her role as Solange Dimitrios in the James Bond film "Casino Royale" (2006).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b512a88190aa493b0793ab28b3 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.