Triple
T20773739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot 403 convertible |
E511301
|
entity |
| Predicate | notableMediaUse |
P82791
|
FINISHED |
| Object | television series prop |
—
|
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: television series prop | Statement: [Peugeot 403 convertible, notableMediaUse, television series prop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMediaUse Context triple: [Peugeot 403 convertible, notableMediaUse, television series prop]
-
A.
notableUse
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
B.
notableMedia
Indicates a relationship where a media work is recognized as significant, prominent, or especially relevant in connection with a given entity.
-
C.
usedInMediaAs
chosen
Indicates that something is employed, featured, or referenced within a media work (such as a film, show, game, or publication) in some capacity.
-
D.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
E.
commonlyUsedInMediaOf
Indicates that something is frequently employed or featured within a particular medium or type of media.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c269638881909d96b847f7de5585 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.