Triple
T29558941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mann Vasanai |
E749982
|
entity |
| Predicate | directorIsAlso |
P151930
|
FINISHED |
| Object | acclaimed filmmaker |
—
|
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: acclaimed filmmaker | Statement: [Mann Vasanai, directorIsAlso, acclaimed filmmaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directorIsAlso Context triple: [Mann Vasanai, directorIsAlso, acclaimed filmmaker]
-
A.
leadActorAlsoDirector
Indicates that the person who plays the lead acting role in a production is also the director of that same production.
-
B.
directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
-
C.
directorAssociatedWith
Indicates a relationship where a director is professionally connected to, responsible for, or involved with a particular entity (such as a work, organization, or project).
-
D.
leadActorAlsoProducer
Indicates that the person who plays the lead acting role in a production also serves as a producer for that same production.
-
E.
directorDescribedAs
chosen
Indicates that a director is characterized or portrayed using a particular description, label, or set of attributes.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 5:18 p.m.