Triple
T38503740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Anthropocene Reviewed |
E919906
|
entity |
| Predicate | notableTopicReviewed |
P103055
|
FINISHED |
| Object | Diet Dr Pepper |
E420070
|
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: Diet Dr Pepper | Statement: [The Anthropocene Reviewed, notableTopicReviewed, Diet Dr Pepper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTopicReviewed Context triple: [The Anthropocene Reviewed, notableTopicReviewed, Diet Dr Pepper]
-
A.
notableArticleTopic
Indicates that an article is notably about, focused on, or significantly discusses a particular topic.
-
B.
notableConceptDiscussed
Indicates that a particular concept is prominently discussed or addressed within a given context, such as a document, conversation, or work.
-
C.
coveredTopics
chosen
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
D.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
E.
notableReportingOn
Indicates that one entity has produced significant or widely recognized reporting, coverage, or journalistic work about another entity.
- F. None of above.
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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41d65b1de48190b25d60f7d053796a |
completed | June 29, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.