Triple
T28567128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinnamon |
E722710
|
entity |
| Predicate | relationshipTypeWithRajesh |
P10690
|
FINISHED |
| Object | pet |
—
|
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: pet | Statement: [Cinnamon, relationshipTypeWithRajesh, pet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithRajesh Context triple: [Cinnamon, relationshipTypeWithRajesh, pet]
-
A.
relationshipTypeWithSohni
Indicates the specific nature or category of the relationship an entity has with Sohni.
-
B.
relationToAkshayKumar
Indicates a specified type of relationship or association that an entity has with Akshay Kumar.
-
C.
relationshipToSita
Indicates the specific familial, social, or interpersonal relationship that one entity has to Sita.
-
D.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
relationshipTypeWithFrasierCrane
Indicates the specific type or nature of relationship an entity has with Frasier Crane.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a0027e4a59481909417b2531daaf480 |
completed | May 10, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0026a42bc08190ad3322ce625a523a |
completed | May 10, 2026, 6:33 a.m. |
Created at: April 28, 2026, 4:07 a.m.