Triple
T589443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natacha Rambova |
E17233
|
entity |
| Predicate | activeYearsInFilm |
P15974
|
FINISHED |
| Object | 1910s–1920s |
—
|
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: 1910s–1920s | Statement: [Natacha Rambova, activeYearsInFilm, 1910s–1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInFilm Context triple: [Natacha Rambova, activeYearsInFilm, 1910s–1920s]
-
A.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
-
B.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
C.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
D.
yearCast
Indicates the specific year in which a particular cast or casting of something (such as a film, show, or performance) took place.
-
E.
directorStartYear
Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
- F. None of above. chosen
Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb775fc819085b968f8615dca59 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.