Triple
T7895157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Kournikova virus |
E183325
|
entity |
| Predicate | emailBodyTextIncludes |
P6841
|
FINISHED |
| Object | Hi: Check This! |
—
|
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: Hi: Check This! | Statement: [Anna Kournikova virus, emailBodyTextIncludes, Hi: Check This!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emailBodyTextIncludes Context triple: [Anna Kournikova virus, emailBodyTextIncludes, Hi: Check This!]
-
A.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
B.
followsInText
Indicates that one textual element appears immediately or subsequently after another within the same text.
-
C.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
D.
mailContractWith
Indicates that one party sends or delivers a contract to another party via mail as part of a transactional or formal process.
-
E.
supportsBody
Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
- F. None of above.
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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.