Triple
T22581517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamma Roma |
E544578
|
entity |
| Predicate | leadActressCharacterOccupation |
P125735
|
FINISHED |
| Object | former prostitute |
—
|
LITERAL 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: former prostitute | Statement: [Mamma Roma, leadActressCharacterOccupation, former prostitute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressCharacterOccupation Context triple: [Mamma Roma, leadActressCharacterOccupation, former prostitute]
-
A.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
B.
occupationOfActress
chosen
Indicates that the specified occupation is the professional role held by a person who is an actress.
-
C.
leadActorOccupation
Indicates that the occupation specified is the primary professional role of the lead actor in a given work or context.
-
D.
portrayedByAlsoPlays
Indicates that the actor who portrays a given character also plays another specified role or character.
-
E.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
- F. None of above.
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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff13e288190b5e4b527470be75e |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.