Triple
T23201030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Aubrey |
E580009
|
entity |
| Predicate | notableTraitInFiction |
P151325
|
FINISHED |
| Object | son of a Royal Navy post-captain |
—
|
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: son of a Royal Navy post-captain | Statement: [George Aubrey, notableTraitInFiction, son of a Royal Navy post-captain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTraitInFiction Context triple: [George Aubrey, notableTraitInFiction, son of a Royal Navy post-captain]
-
A.
notableTraitInGames
Indicates that a particular characteristic or quality is especially prominent or well-known in the context of games.
-
B.
notableTraitInMarvel
Indicates that a particular trait or characteristic is especially prominent or noteworthy within the Marvel universe.
-
C.
notableTraitOnStage
Indicates that an entity is characterized by a distinctive or noteworthy trait specifically in the context of performing or appearing on stage.
-
D.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
-
E.
notableFeat
Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:06 p.m.