Triple
T20905295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renée Adorée |
E514778
|
entity |
| Predicate | filmDebutDecade |
P54801
|
FINISHED |
| Object | 1910s |
—
|
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 | Statement: [Renée Adorée, filmDebutDecade, 1910s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmDebutDecade Context triple: [Renée Adorée, filmDebutDecade, 1910s]
-
A.
filmDebutPeriod
chosen
Indicates the time period during which an entity (typically a person) made their first appearance in a film.
-
B.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
C.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
filmIndustryDebut
Indicates the event or point in time when an entity first appears or participates in the film industry, such as through a first film role, production, or related professional activity.
-
E.
soundFilmDebutDate
Indicates the date on which an entity first appeared in a sound film.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8ff36488190987ecdfcbed4220c |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.