Triple
T20878983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dormouse |
E514093
|
entity |
| Predicate | relationshipToHatter |
P142222
|
FINISHED |
| Object | tea party companion |
—
|
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: tea party companion | Statement: [The Dormouse, relationshipToHatter, tea party companion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHatter Context triple: [The Dormouse, relationshipToHatter, tea party companion]
-
A.
relationshipToQueenOfHearts
Indicates the specific familial, social, or hierarchical relationship that one entity has to the Queen of Hearts.
-
B.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
C.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
-
D.
relationshipToHarry
Indicates the specific type of relationship or connection that an entity has to Harry.
-
E.
relationshipToPeppermintPatty
Indicates the specific type of personal or social relationship an entity has with Peppermint Patty.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.