Triple
T934938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Bunny |
E20173
|
entity |
| Predicate | hasCompanionObject |
P5510
|
FINISHED |
| Object | Easter basket |
—
|
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: Easter basket | Statement: [Easter Bunny, hasCompanionObject, Easter basket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionObject Context triple: [Easter Bunny, hasCompanionObject, Easter basket]
-
A.
hasObject
chosen
Indicates that an entity is associated with or possesses a particular object as part of a relationship or action.
-
B.
hasCompanionWebsite
Indicates that something is associated with or supported by a dedicated companion website.
-
C.
hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
-
D.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
E.
hasCallsignCompanion
Indicates that one entity serves as a companion or associated partner to another entity’s callsign.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.