Triple
T14238821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Doctor |
E352954
|
entity |
| Predicate | usesMartialArt |
P35675
|
FINISHED |
| Object | Venusian aikido |
—
|
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: Venusian aikido | Statement: [Third Doctor, usesMartialArt, Venusian aikido]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMartialArt Context triple: [Third Doctor, usesMartialArt, Venusian aikido]
-
A.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to another entity.
-
B.
isGrapplingArt
Indicates that the subject is a martial art or combat style primarily focused on grappling techniques such as holds, locks, and throws.
-
C.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
D.
methodOfCombat
chosen
Indicates the specific technique, style, or means by which an entity engages in combat or fighting.
-
E.
hasFightingStance
Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
- 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.