Triple
T6750114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Laws (Dr. iur.) |
E154320
|
entity |
| Predicate | holderMayUseTitle |
P73286
|
FINISHED |
| Object | Doctor |
—
|
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: Doctor | Statement: [Doctor of Laws (Dr. iur.), holderMayUseTitle, Doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderMayUseTitle Context triple: [Doctor of Laws (Dr. iur.), holderMayUseTitle, Doctor]
-
A.
holderMayBe
Indicates that a particular entity is allowed or permitted to serve as the holder or possessor of another entity.
-
B.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
-
C.
officeHolderMayUseTitle
Indicates that a person who holds a particular office is permitted to use a specified official title.
-
D.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
E.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d3264b7481908816a4d19543fb7b |
completed | March 27, 2026, 6:57 p.m. |
Created at: March 27, 2026, 2:11 p.m.