Triple
T1387087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Semin |
E29869
|
entity |
| Predicate | hasCareerSpan |
P18004
|
FINISHED |
| Object | NHL and KHL eras of the 2000s and 2010s |
—
|
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: NHL and KHL eras of the 2000s and 2010s | Statement: [Alexander Semin, hasCareerSpan, NHL and KHL eras of the 2000s and 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerSpan Context triple: [Alexander Semin, hasCareerSpan, NHL and KHL eras of the 2000s and 2010s]
-
A.
activeYearsInCareer
chosen
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
B.
winnerCareerSpanTeam
Indicates the team for which a winner competed during the span of their professional career.
-
C.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
D.
careerRuns
Indicates the total number of runs a player has scored over the entire duration of their professional career.
-
E.
spentEntireMLBCareerWith
Indicates that a player spent their entire Major League Baseball career with a single team.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33b6e108190b6b2bca4ddd97b6c |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.