Triple
T34891677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy |
E1006302
|
entity |
| Predicate | featuredInCountry |
P626
|
FINISHED |
| Object | American cinema |
—
|
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: American cinema | Statement: [Daisy, featuredInCountry, American cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInCountry Context triple: [Daisy, featuredInCountry, American cinema]
-
A.
listedInCountry
Indicates that an entity is officially recorded, registered, or included within the context or jurisdiction of a specified country.
-
B.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
D.
featuredIn
chosen
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
E.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a036fb4650c81908df9b9ec8ed8594b |
completed | May 12, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_6a036f64dc648190a31cf944d3ea0f7d |
completed | May 12, 2026, 6:20 p.m. |
Created at: May 3, 2026, 4 p.m.