Triple
T14566384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Reginald Hargreeves |
E341793
|
entity |
| Predicate | relationshipToTeam |
P9671
|
FINISHED |
| Object | founder of the Umbrella Academy |
—
|
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: founder of the Umbrella Academy | Statement: [Sir Reginald Hargreeves, relationshipToTeam, founder of the Umbrella Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToTeam Context triple: [Sir Reginald Hargreeves, relationshipToTeam, founder of the Umbrella Academy]
-
A.
relatedTeam
Indicates that two teams are connected or associated with each other in a relevant or meaningful way.
-
B.
relationToLeague
Indicates the type or nature of a team's or participant's association with a specific league (e.g., membership, affiliation, or standing).
-
C.
associatedTeam
chosen
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
D.
associatedWithTeamIdentity
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
-
E.
personReferredToWhaTeam
Indicates that a person has been referred or directed to a specific WHA (likely "Workplace Health Assessment" or similar) team for attention, services, or follow-up.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.