Triple
T32517590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Coat Systems |
E831099
|
entity |
| Predicate | roleOfGregory S. Clark |
P180360
|
FINISHED |
| Object | Chief Executive Officer |
—
|
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: Chief Executive Officer | Statement: [Blue Coat Systems, roleOfGregory S. Clark, Chief Executive Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfGregory S. Clark Context triple: [Blue Coat Systems, roleOfGregory S. Clark, Chief Executive Officer]
-
A.
historianAuthor
Indicates that one entity is the historian who authored or wrote the work represented by the other entity.
-
B.
roleHistoricallyAssociatedWith
Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over time.
-
C.
hasHistoricalInfluenceFrom
Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
-
D.
roleInHistoryOf
Indicates that one entity holds a specific role, contribution, or significance within the historical development or narrative of another entity.
-
E.
hasHistoricalWritingInfluenceFrom
Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1 a.m.