Triple
T28402063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Tal |
E719417
|
entity |
| Predicate | worldChampionNumber |
P155255
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Mikhail Tal, worldChampionNumber, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionNumber Context triple: [Mikhail Tal, worldChampionNumber, 8]
-
A.
worldChampionIn
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
B.
worldChampionPredecessor
Indicates that one entity was the immediate previous world champion before another entity.
-
C.
championSeriesWins
Indicates that one entity has won a championship series a specified number of times or in a specified context relative to another entity.
-
D.
worldChampionTitleEdition
Indicates the specific edition or instance of a world champion title associated with a given world champion title.
-
E.
numberOfChampionTitles
chosen
Indicates the total count of championship titles that an entity has won.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 1:20 a.m.