Triple
T9030171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMPTE timecode |
E216147
|
entity |
| Predicate | BITCdisplayedAs |
P85776
|
FINISHED |
| Object | on-screen overlay |
—
|
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: on-screen overlay | Statement: [SMPTE timecode, BITCdisplayedAs, on-screen overlay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BITCdisplayedAs Context triple: [SMPTE timecode, BITCdisplayedAs, on-screen overlay]
-
A.
isDigitalCurrency
Indicates that the subject functions as a form of currency that exists and operates electronically rather than in physical form.
-
B.
formerCoinDenomination
Indicates that one entity was previously used as a unit of coinage or monetary denomination in the context of the other entity, but is no longer in current use.
-
C.
isDenominatedIn
Indicates that something (such as a price, value, or account) is expressed or measured in a particular currency or unit of denomination.
-
D.
frequentlyUsedCoin
Indicates that a particular coin is used often or commonly in transactions or everyday activities.
-
E.
nativeCryptocurrency
Indicates that a cryptocurrency is the primary, built-in medium of exchange and value for a specific blockchain or distributed ledger.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9e0aa881908886f453c51ecd0e |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:08 p.m.