Triple
T34239215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padmini |
E878415
|
entity |
| Predicate | activeAsActressFrom |
P45002
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Padmini, activeAsActressFrom, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAsActressFrom Context triple: [Padmini, activeAsActressFrom, 1940s]
-
A.
debutAsLeadActressYear
Indicates the year in which an entity first made her debut as a lead actress.
-
B.
startedActingCareer
chosen
Indicates that an entity began their professional work or involvement in acting at a specific time or event.
-
C.
madeActressA
Indicates that one entity caused or was responsible for another entity becoming an actress.
-
D.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
-
E.
actress
Indicates that the subject is a female performer who acts in films, television, theater, or other dramatic productions.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.