Triple
T16007220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Abrams |
E388248
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mediaite |
E1190420
|
NE 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: Mediaite | Statement: [Dan Abrams, notableWork, Mediaite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mediaite Context triple: [Dan Abrams, notableWork, Mediaite]
-
A.
Mediaite
chosen
Mediaite is a news and opinion website that focuses on media industry coverage, political commentary, and analysis of television and online journalism.
-
B.
MediaCom
MediaCom is a global media planning and buying agency known for managing advertising and communications strategies for major brands worldwide.
-
C.
Media
Media is a small borough in Delaware County, Pennsylvania, that serves as the county seat and is known for its historic downtown and community-oriented character.
-
D.
Media
Media was an ancient Iranian kingdom in northwestern Iran, historically ruled by the Medes and known for its role as a major Near Eastern power before being absorbed by the Achaemenid Persian Empire.
-
E.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800246c8190a298c5f96478c396 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.