Triple
T12947589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatherhood |
E309808
|
entity |
| Predicate | filmingType |
P90244
|
FINISHED |
| Object | live-action |
—
|
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: live-action | Statement: [Fatherhood, filmingType, live-action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingType Context triple: [Fatherhood, filmingType, live-action]
-
A.
filmProductionType
chosen
Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
-
B.
filmingState
Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
-
C.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.