Triple
T18880164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelo Vieira |
E461803
|
entity |
| Predicate | hasRelativeInFootball |
P30053
|
FINISHED |
| Object | grandfather who encouraged his football career |
—
|
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: grandfather who encouraged his football career | Statement: [Marcelo Vieira, hasRelativeInFootball, grandfather who encouraged his football career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeInFootball Context triple: [Marcelo Vieira, hasRelativeInFootball, grandfather who encouraged his football career]
-
A.
hasRelativeInSport
chosen
Indicates that one entity has a family member who participates or is involved in a sport-related activity or profession.
-
B.
hasRelativeInMLB
Indicates that one person has a family member who plays or has played in Major League Baseball (MLB).
-
C.
playsAssociationFootballIn
Indicates that an entity participates in playing association football (soccer) within or for a specified place, organization, or context.
-
D.
hadFootball
Indicates that an entity possessed or was in control of a football during a specified time or event.
-
E.
hasFootballArrangementWith
Indicates a formal or informal agreement or setup between entities specifically related to playing, organizing, or managing football activities or events.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d133f08190a482e601c1866662 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.