Triple
T32025260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVH |
E817799
|
entity |
| Predicate | sponsoredPersonOccupation |
P39104
|
FINISHED |
| Object | chess grandmaster |
—
|
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: chess grandmaster | Statement: [TVH, sponsoredPersonOccupation, chess grandmaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoredPersonOccupation Context triple: [TVH, sponsoredPersonOccupation, chess grandmaster]
-
A.
sponsorOccupation
Indicates that one entity serves as the occupation or professional role of a sponsor associated with another entity.
-
B.
namedPersonOccupation
Indicates that a person is explicitly identified as having a particular occupation or job role.
-
C.
employerOfNotablePerson
Indicates that an entity serves or has served as the employer of a person who is considered notable.
-
D.
patronOccupation
Indicates that one entity serves as the occupation or professional role held by a patron entity.
-
E.
recipientOccupation
chosen
Indicates that the object specifies the job, profession, or role held by the recipient in the described relationship or event.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:17 a.m.