Triple
T15161483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhaylovich |
E362226
|
entity |
| Predicate | followsInFullName |
P9013
|
FINISHED |
| Object | given name |
—
|
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: given name | Statement: [Mikhaylovich, followsInFullName, given name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInFullName Context triple: [Mikhaylovich, followsInFullName, given name]
-
A.
followsNameOf
chosen
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
B.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
C.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
D.
followsFrom
Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
-
E.
followsInText
Indicates that one textual element appears immediately or subsequently after another within the same text.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.