Triple
T18731617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiny Furniture |
E458046
|
entity |
| Predicate | hasDirectorDebutStatus |
P18940
|
FINISHED |
| Object | feature directorial debut of Lena Dunham |
—
|
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: feature directorial debut of Lena Dunham | Statement: [Tiny Furniture, hasDirectorDebutStatus, feature directorial debut of Lena Dunham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorDebutStatus Context triple: [Tiny Furniture, hasDirectorDebutStatus, feature directorial debut of Lena Dunham]
-
A.
featureDirectorialDebutOf
chosen
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
B.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
C.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
D.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
E.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.