Triple
T34987601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Kilrea |
E1008993
|
entity |
| Predicate | competitiveLevelAsPlayer |
P180985
|
FINISHED |
| Object | professional |
—
|
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: professional | Statement: [Brian Kilrea, competitiveLevelAsPlayer, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitiveLevelAsPlayer Context triple: [Brian Kilrea, competitiveLevelAsPlayer, professional]
-
A.
competitionLevelOf
Indicates the degree or intensity of competitiveness associated with an entity, event, or context.
-
B.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
C.
competesAtLevel
chosen
Indicates that one entity participates in competition at a specified level or tier relative to others.
-
D.
competitionLevelRelativeToAmateur
Indicates the degree to which something’s level of competition differs from that of an amateur level.
-
E.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:01 p.m.