Triple
T2413122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitmoji |
E52239
|
entity |
| Predicate | friendmojiDefinition |
P37742
|
FINISHED |
| Object | combined stickers featuring avatars of two friends |
—
|
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: combined stickers featuring avatars of two friends | Statement: [Bitmoji, friendmojiDefinition, combined stickers featuring avatars of two friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: friendmojiDefinition Context triple: [Bitmoji, friendmojiDefinition, combined stickers featuring avatars of two friends]
-
A.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
-
B.
friend
Indicates a mutual, typically positive social relationship of companionship, trust, or support between two entities.
-
C.
avatar
Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
-
D.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
E.
relationshipToUnicode
Indicates a mapping or association between an entity and its corresponding Unicode representation or code point.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.