Triple
T32068410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Fucile |
E818944
|
entity |
| Predicate | basedOnProductionType |
P152301
|
FINISHED |
| Object | feature film |
—
|
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 film | Statement: [Eli Fucile, basedOnProductionType, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnProductionType Context triple: [Eli Fucile, basedOnProductionType, feature film]
-
A.
basedOnProduction
chosen
Indicates that one entity is derived from, adapted from, or created using the content, process, or results of another production.
-
B.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
C.
basedOnType
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
D.
eligibleProductionType
Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
-
E.
basedOnProduct
Indicates that something is derived from, influenced by, or created using a particular product as its source or foundation.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 1, 2026, 12:22 a.m.