Triple
T14072909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason "The Line" Dixon |
E338655
|
entity |
| Predicate | isProfessionalStatus |
P22391
|
FINISHED |
| Object | undefeated champion at film start |
—
|
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: undefeated champion at film start | Statement: [Mason "The Line" Dixon, isProfessionalStatus, undefeated champion at film start]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProfessionalStatus Context triple: [Mason "The Line" Dixon, isProfessionalStatus, undefeated champion at film start]
-
A.
hasProfessionalStatus
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
B.
hasProfessionalStatusRequirement
Indicates that something is subject to a condition specifying a particular professional status that must be held or met.
-
C.
isPro
chosen
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
D.
professionalStatusRestriction
Indicates a limitation or condition placed on someone’s professional role, eligibility, or activities.
-
E.
isProfessionalGraduateInstitution
Indicates that an institution functions as a professional-level graduate school, offering advanced degrees or training beyond the undergraduate level.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.