Triple
T38482189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flying Tomato |
E915708
|
entity |
| Predicate | usedByMediaType |
P3334
|
FINISHED |
| Object | sports media |
—
|
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: sports media | Statement: [The Flying Tomato, usedByMediaType, sports media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByMediaType Context triple: [The Flying Tomato, usedByMediaType, sports media]
-
A.
usedByMedia
chosen
Indicates that something is employed or utilized by media organizations or media-related channels.
-
B.
usedByMediaIn
Indicates that something is employed or utilized within a particular media work or medium.
-
C.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
-
D.
usedByMediaToReferTo
Indicates that a particular name, term, or label is employed by media sources to refer to a given entity.
-
E.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 4:31 p.m.