Triple
T36284531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulf Andersson |
E893036
|
entity |
| Predicate | preferredOpeningsAsBlack |
P185398
|
FINISHED |
| Object | Caro-Kann Defence |
—
|
NE NERFINISHED |
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: Caro-Kann Defence | Statement: [Ulf Andersson, preferredOpeningsAsBlack, Caro-Kann Defence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preferredOpeningsAsBlack Context triple: [Ulf Andersson, preferredOpeningsAsBlack, Caro-Kann Defence]
-
A.
preferredOpeningsAsWhite
Indicates the specific chess openings a player tends to choose or favor when playing with the white pieces.
-
B.
westernOpening
Indicates that an entity begins or is initiated in the western part or from a western direction relative to another reference point or region.
-
C.
usesOpeningBooks
Indicates that one entity employs predefined opening sequences or reference materials as a guide when initiating an action or process involving another entity.
-
D.
hasFamousOpening
Indicates that something (such as a work, speech, or performance) is characterized by a widely recognized and notable beginning section.
-
E.
openingGameOpponent2
Indicates that the specified entity served as the second opponent faced in an opening game or initial match.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:09 p.m.