Triple
T36434528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Morfit |
E897535
|
entity |
| Predicate | roleAtValueActCapital |
P185747
|
FINISHED |
| Object | managing partner |
—
|
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: managing partner | Statement: [Mason Morfit, roleAtValueActCapital, managing partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtValueActCapital Context triple: [Mason Morfit, roleAtValueActCapital, managing partner]
-
A.
sectorCapitalOf
Indicates that one entity serves as the capital or primary administrative center of a specified sector or regional division.
-
B.
departmentCapitalOf
Indicates that a location serves as the administrative capital of a specified department (an administrative division).
-
C.
capitalRepresentation
Indicates that one entity serves as the capital city or capital seat representing another entity, such as a country, state, or region.
-
D.
capitalFor
Indicates that one entity serves as the capital city or administrative center for another entity, such as a country, state, or region.
-
E.
isFinancialCapitalOf
Indicates that a city or region serves as the primary center for a country’s or area’s financial, banking, and economic market activities.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.