Triple
T15036226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Vaughn |
E378482
|
entity |
| Predicate | televisionSerialType |
P3279
|
FINISHED |
| Object | classic Doctor Who |
—
|
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: classic Doctor Who | Statement: [Tobias Vaughn, televisionSerialType, classic Doctor Who]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSerialType Context triple: [Tobias Vaughn, televisionSerialType, classic Doctor Who]
-
A.
filmSerialType
Indicates the type or category of a film serial to which a particular film or episode belongs.
-
B.
televisionShow
chosen
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
seriesMedium
Indicates that a series is presented or distributed through a particular medium or format (such as television, radio, print, or online).
-
D.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
-
E.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.