Triple
T37661356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | zoglin |
E937723
|
entity |
| Predicate | babyVariantExists |
P188589
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [zoglin, babyVariantExists, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: babyVariantExists Context triple: [zoglin, babyVariantExists, false]
-
A.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
nameHasVariant
Indicates that an entity’s name has an alternative or variant form.
-
C.
appearsInVariant
Indicates that an entity is present or occurs within a particular variant or version of another entity.
-
D.
hasVariantsIn
Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
-
E.
toyFigureVariantOf
Indicates that one toy figure is a variant or alternate version of another toy figure, typically differing in features such as color, accessories, or minor design details while representing the same underlying character or model.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.