Triple
T4029483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Harper |
E83671
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object | The Hub |
E282439
|
NE 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: The Hub | Statement: [Owen Harper, worksAt, The Hub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hub Context triple: [Owen Harper, worksAt, The Hub]
-
A.
The Hub
The Hub was a 19th-century American periodical associated with reformist and intellectual writing, for which civil rights advocate and author Archibald Grimké contributed.
-
B.
The Hub
The Hub is a prominent landmark and cultural venue in Edinburgh, Scotland, known for hosting arts and performance events, especially during the city's major festivals.
-
C.
The Hub
The Hub is a well-known nickname for Boston, Massachusetts, reflecting its historical role as a central cultural, intellectual, and political center in the United States.
-
D.
The Hub
chosen
The Hub is a secure S.H.I.E.L.D. facility featured in Marvel's Agents of S.H.I.E.L.D., serving as a major operations and logistics center for the organization.
-
E.
Hub One
Hub One is a French digital services and telecommunications company specializing in connectivity, mobility, and IT solutions, particularly for airport and logistics environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556358f148190be7008092d0023af |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.