Triple
T34724965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana Adwoa Awindor |
E1001035
|
entity |
| Predicate | mediaFormatWorkedOn |
P38824
|
FINISHED |
| Object | television |
—
|
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 | Statement: [Nana Adwoa Awindor, mediaFormatWorkedOn, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFormatWorkedOn Context triple: [Nana Adwoa Awindor, mediaFormatWorkedOn, television]
-
A.
laterMediaFormat
Indicates that one media format is a subsequent or updated version of another media format in time.
-
B.
mediaTypeAvailable
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
-
C.
usesFilmFormat
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
-
D.
operatesInFormat
chosen
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
E.
mediatisedBy
Indicates that an entity’s communication or interaction is conveyed, shaped, or influenced through a particular medium or media channel rather than occurring directly.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 3:59 p.m.