Triple
T30729377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falling Leaves (1966 film) |
E782374
|
entity |
| Predicate | hasDirectorWork |
P107822
|
FINISHED |
| Object | Otar Iosseliani filmography |
—
|
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: Otar Iosseliani filmography | Statement: [Falling Leaves (1966 film), hasDirectorWork, Otar Iosseliani filmography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorWork Context triple: [Falling Leaves (1966 film), hasDirectorWork, Otar Iosseliani filmography]
-
A.
hasDirectorOfWork
Indicates that an entity has a specific person or organization serving as the director responsible for overseeing its work or project.
-
B.
hasDirectorInKeyWork
Indicates that a director is associated with a key or primary work of an entity (such as a film, series, or major production).
-
C.
workOfDirector
chosen
Indicates that a creative work (such as a film, play, or show) is directed by a particular director.
-
D.
hasWorkInGenreOfDirector
Indicates that a creator’s work belongs to the same genre as that associated with a particular director.
-
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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 29, 2026, 8:37 p.m.