Triple
T26839491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernandomania |
E675737
|
entity |
| Predicate | mediaTermCoinedBy |
P81266
|
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: [Fernandomania, mediaTermCoinedBy, sports media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTermCoinedBy Context triple: [Fernandomania, mediaTermCoinedBy, sports media]
-
A.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
B.
languageOfCoinedTerm
Indicates the language in which a particular term was originally coined or first formulated.
-
C.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
D.
propagandaTermCoinedBy
Indicates that a specific propaganda term was originally created or introduced by a particular agent or source.
-
E.
mediaNicknameOrigin
chosen
Indicates that a media-related nickname originates from, or is derived based on, a particular source or context.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:07 a.m.