Triple
T12790295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Kramnik |
E305740
|
entity |
| Predicate | peakFIDERating |
P50940
|
FINISHED |
| Object | 2817 |
—
|
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: 2817 | Statement: [Vladimir Kramnik, peakFIDERating, 2817]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakFIDERating Context triple: [Vladimir Kramnik, peakFIDERating, 2817]
-
A.
peakRating
chosen
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
B.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
C.
peakOutputRanking
Indicates the relative position of an entity in an ordered list based on its maximum or peak output level.
-
D.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
-
E.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6a61f48190972e241e70bc392c |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.