Triple
T9344962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilia Alexandrovich Kulik |
E224864
|
entity |
| Predicate | formerAthlete |
P87635
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ilia Alexandrovich Kulik, formerAthlete, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerAthlete Context triple: [Ilia Alexandrovich Kulik, formerAthlete, true]
-
A.
formerSport
Indicates that an entity previously played or participated in a particular sport but no longer does so.
-
B.
representedAthlete
Indicates that one entity serves as an official representative or agent for a particular athlete.
-
C.
formerAthleticsNickname
Indicates that an entity was previously known by a particular athletics team nickname that is no longer in current use.
-
D.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
E.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:41 p.m.