Triple
T13289317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Goldberg |
E316524
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | LAUNCH Media |
E1033031
|
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: LAUNCH Media | Statement: [Dave Goldberg, employer, LAUNCH Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAUNCH Media Context triple: [Dave Goldberg, employer, LAUNCH Media]
-
A.
LAUNCH Media
chosen
LAUNCH Media was an early online music and entertainment company best known for its personalized internet radio and music video services in the late 1990s and early 2000s.
-
B.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
-
C.
Katalyst Media
Katalyst Media is a production company co-founded by actor and entrepreneur Ashton Kutcher, known for creating television, film, and digital media content.
-
D.
Caliber Media Company
Caliber Media Company is an American film and television production company known for developing and producing independent genre features.
-
E.
Brigade Media
Brigade Media was a civic technology startup focused on increasing political engagement and voter participation through a social networking platform.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99076aeec8190b0cb883ab60d3f6b |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266832a881909403c4d3cbe1edec |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:27 p.m.