Triple
T257445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johns Hopkins University |
E5465
|
entity |
| Predicate | hasChancellorOrEquivalent |
P2568
|
FINISHED |
| Object | president of Johns Hopkins University |
—
|
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: president of Johns Hopkins University | Statement: [Johns Hopkins University, hasChancellorOrEquivalent, president of Johns Hopkins University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChancellorOrEquivalent Context triple: [Johns Hopkins University, hasChancellorOrEquivalent, president of Johns Hopkins University]
-
A.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another entity.
-
B.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
C.
hasChiefExecutiveRole
chosen
Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
-
D.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
E.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d703e688190bb86c69527e306f5 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b694c08819085bb4b256fa7736f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.