Triple
T35441271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shin |
E1024344
|
entity |
| Predicate | magazineSerialization |
P182978
|
FINISHED |
| Object | Young Animal |
—
|
NE NERFINISHED |
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: Young Animal | Statement: [Shin, magazineSerialization, Young Animal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magazineSerialization Context triple: [Shin, magazineSerialization, Young Animal]
-
A.
magazineEditorAtSerialization
Indicates that a person serves as the editor of a magazine specifically during the period when a work is being serialized in that magazine.
-
B.
ownedMagazine
Indicates that one entity possessed or held ownership of a particular magazine.
-
C.
magazineRelease
Indicates the event or relationship in which a magazine is issued or made publicly available on a particular date or through a specific channel.
-
D.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
E.
documentsSeries
Indicates that one document belongs to, or is part of, a larger series of related documents.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f795c200f48190a596f34fdae23fd7 |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:04 p.m.