Triple
T10937851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Shelby |
E258382
|
entity |
| Predicate | fictionalDateOfBirth |
P65638
|
FINISHED |
| Object | late 19th 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: late 19th century | Statement: [Arthur Shelby, fictionalDateOfBirth, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalDateOfBirth Context triple: [Arthur Shelby, fictionalDateOfBirth, late 19th century]
-
A.
fictionalBirthDate
chosen
Indicates the date on which a fictional character is stated or assumed to have been born within its narrative or canon.
-
B.
fictionalBirthYear
Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
-
C.
fictionalBirthStatus
Indicates the relationship between an entity and its status of being born or created within a fictional or imaginary context.
-
D.
basedOnFictionalDateIn
Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
-
E.
fictionalBirthPlace
Indicates the fictional location where a character or entity is described as having been born within a narrative or imagined context.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.