Triple
T15491940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Next Doctor |
E378706
|
entity |
| Predicate | featuresSonicScrewdriver |
P61798
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Next Doctor, featuresSonicScrewdriver, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSonicScrewdriver Context triple: [The Next Doctor, featuresSonicScrewdriver, yes]
-
A.
equipmentCharacteristic
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
-
B.
TARDISFeature
Indicates that an entity possesses a specific characteristic, component, or capability associated with the TARDIS.
-
C.
featuresCyborg
Indicates that something includes or prominently presents a cyborg as part of its content or composition.
-
D.
featuresFictionalTechnology
chosen
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
E.
robotFeature
Indicates that a robot possesses or is characterized by a particular feature or attribute.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:49 a.m.