Triple
T16424094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Waterfield |
E398893
|
entity |
| Predicate | leavesTheDoctorInEra |
P122729
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Victoria Waterfield, leavesTheDoctorInEra, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesTheDoctorInEra Context triple: [Victoria Waterfield, leavesTheDoctorInEra, 20th century]
-
A.
associatedDoctorEra
Indicates a relationship where a doctor is linked to a specific historical or professional era in which they were active or relevant.
-
B.
leavesDoctorInStory
Indicates that, within a narrative, one character departs from or stops being accompanied by a doctor.
-
C.
featuresIncarnationOfDoctor
Indicates that the subject includes or presents a specific incarnation (version) of the Doctor character.
-
D.
leavesTARDISInStory
Indicates that a character exits or departs from the TARDIS at some point within the narrative of a specific story.
-
E.
firstAppearedWithDoctor
Indicates the specific Doctor character with whom an entity (such as a companion, monster, or concept) made its first appearance.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f9da9081908dadbdac4b2d38ec |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.