Triple
T29137224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dipper Pines |
E738538
|
entity |
| Predicate | hasBirthmark |
P53111
|
FINISHED |
| Object | Big Dipper-shaped birthmark |
—
|
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: Big Dipper-shaped birthmark | Statement: [Dipper Pines, hasBirthmark, Big Dipper-shaped birthmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBirthmark Context triple: [Dipper Pines, hasBirthmark, Big Dipper-shaped birthmark]
-
A.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
B.
hasScar
chosen
Indicates that one entity bears or possesses a scar on its body.
-
C.
facialMarkings
Indicates that one entity has distinctive marks, patterns, or features on its face in relation to another entity or context.
-
D.
gravesMarking
Indicates that certain graves serve as markers or indicators for specific individuals, events, or locations.
-
E.
hasFieldMarkingsFor
Indicates that one entity includes or displays field markings that are intended or suitable for use by another entity.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 11:35 a.m.