Triple
T4949033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Control Video Corporation |
E111122
|
entity |
| Predicate | roleOfMarcSeriff |
P60120
|
FINISHED |
| Object | technical leader in online services |
—
|
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: technical leader in online services | Statement: [Control Video Corporation, roleOfMarcSeriff, technical leader in online services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfMarcSeriff Context triple: [Control Video Corporation, roleOfMarcSeriff, technical leader in online services]
-
A.
roleOfPeter Seligmann
Indicates that the specified role or position is held by Peter Seligmann.
-
B.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
C.
alsoServedAs
Indicates that an entity held an additional role or position beyond the primary one already mentioned.
-
D.
importantAuthor
Indicates that an entity plays a significant or primary authorship role in relation to another entity (such as a work, document, or publication).
-
E.
namedEditorInChief
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
- F. None of above. chosen
Provenance (4 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6fa2d2088190ae444d3d0e47d5d2 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:31 p.m.