Triple
T10222170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Science |
E242606
|
entity |
| Predicate | usedInAcademicTitle |
P9141
|
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 Science, usedInAcademicTitle, Doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAcademicTitle Context triple: [Doctor of Science, usedInAcademicTitle, Doctor]
-
A.
academicTitleOf
Indicates that one entity is the academic title or rank held by another entity.
-
B.
academicTitleAbbreviation
chosen
Indicates that one entity is the standard abbreviated form of another entity’s full academic title.
-
C.
usedInFormalTitleOf
Indicates that something is employed as part of the official or formal title of an entity.
-
D.
hasAcademicRank
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
E.
honorificDegree
Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa740db88190ba707226e36de0ed |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:10 a.m.