Triple
T37288724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kit Kittredge |
E925602
|
entity |
| Predicate | fictionalBirthDecade |
P45575
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Kit Kittredge, fictionalBirthDecade, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalBirthDecade Context triple: [Kit Kittredge, fictionalBirthDecade, 1920s]
-
A.
fictionalBirthYear
Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
-
B.
fictionalBirthDate
Indicates the date on which a fictional character is stated or assumed to have been born within its narrative or canon.
-
C.
hasBirthDecade
chosen
Indicates that an entity’s birth occurred within a specified decade.
-
D.
fictionalCenturyOfOrigin
Indicates the fictional century in which an entity is depicted as having originated or first appeared within its narrative world.
-
E.
fictionalAge
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:16 p.m.