Triple
T35020851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliens of London |
E1010189
|
entity |
| Predicate | mainDoctor |
P182017
|
FINISHED |
| Object | Ninth Doctor |
—
|
NE NERFINISHED |
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: Ninth Doctor | Statement: [Aliens of London, mainDoctor, Ninth Doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDoctor Context triple: [Aliens of London, mainDoctor, Ninth Doctor]
-
A.
doctor
Indicates that one entity serves as a medical professional providing diagnosis, treatment, or healthcare services to another entity.
-
B.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
C.
doctorNumber
Indicates the unique identifying number assigned to a doctor in the context of a relationship or record.
-
D.
encountersDoctor
Indicates that one entity comes into contact with or meets a doctor in some context or situation.
-
E.
medicalField
Indicates that one entity is a branch or specialty of medicine in which the other entity is practiced, studied, or categorized.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.