Triple
T31896331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bette Tattler |
E814292
|
entity |
| Predicate | hasBodyCount |
P192997
|
FINISHED |
| Object | one (shared with Dot Tattler) |
—
|
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: one (shared with Dot Tattler) | Statement: [Bette Tattler, hasBodyCount, one (shared with Dot Tattler)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyCount Context triple: [Bette Tattler, hasBodyCount, one (shared with Dot Tattler)]
-
A.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
-
B.
haveBody
Indicates that one entity possesses, contains, or is associated with another entity as its body or main physical/content component.
-
C.
hasBodyPartCount
Indicates that an entity possesses a specified number of body parts.
-
D.
hasSupportBody
Indicates that one entity serves as a supporting structure or body for another entity.
-
E.
hasInternalBody
Indicates that one entity possesses an internal body or internal bodily structure relative to another entity or context.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 30, 2026, 11:58 p.m.