Triple
T28921925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Team |
E733535
|
entity |
| Predicate | alsoFilmedIn |
P165525
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Time Team, alsoFilmedIn, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoFilmedIn Context triple: [Time Team, alsoFilmedIn, France]
-
A.
filmedAs
Indicates that an entity was recorded or captured in a particular form, version, or role during a filming or production process.
-
B.
alsoProducedAs
Indicates that the same work, content, or product has been created or released in an additional form, version, or medium.
-
C.
laterDepictedIn
Indicates that an entity is portrayed or represented in a depiction (such as an image, artwork, or illustration) that was created at a later time than the entity itself.
-
D.
filmedFor
Indicates that something was recorded or produced specifically for a particular purpose, audience, platform, or project.
-
E.
linkedFilm
Indicates that there is an associated or connected film related to the given entity.
- F. None of above. chosen
Provenance (4 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1b09a08190934a1b04d6381028 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 8:20 a.m.