Triple
T14240353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Master (Doctor Who) |
E352985
|
entity |
| Predicate | relationshipWithDoctor |
P54228
|
FINISHED |
| Object | former childhood friend |
—
|
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: former childhood friend | Statement: [The Master (Doctor Who), relationshipWithDoctor, former childhood friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithDoctor Context triple: [The Master (Doctor Who), relationshipWithDoctor, former childhood friend]
-
A.
relationshipToDoctor
chosen
Indicates the specific personal or professional connection an individual has with a doctor (e.g., self, spouse, parent, guardian, colleague).
-
B.
patientRelationship
Indicates that one entity is the patient or recipient of an action, treatment, or service performed by another entity.
-
C.
associatedWithPractice
Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
-
D.
medicalAffiliation
Indicates a formal professional or institutional relationship between an entity and a medical organization, such as employment, membership, or clinical association.
-
E.
reasonForAppointment
Indicates the underlying purpose or cause for which an appointment is scheduled or taking place.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.