Triple
T144133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rory John Gates |
E2915
|
entity |
| Predicate | mediaStrategy |
P5388
|
FINISHED |
| Object | avoids extensive public attention |
—
|
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: avoids extensive public attention | Statement: [Rory John Gates, mediaStrategy, avoids extensive public attention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaStrategy Context triple: [Rory John Gates, mediaStrategy, avoids extensive public attention]
-
A.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
-
B.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
C.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
D.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257e935bc8190a03e54a10e9ba6f7 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257101060819094db0f3a3a72f312 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.