Triple
T30856930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Dunbar |
E785948
|
entity |
| Predicate | relationshipTypeWith Audrey Bingham |
P204299
|
FINISHED |
| Object | friendship |
—
|
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: friendship | Statement: [Russell Dunbar, relationshipTypeWith Audrey Bingham, friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Audrey Bingham Context triple: [Russell Dunbar, relationshipTypeWith Audrey Bingham, friendship]
-
A.
relationshipTypeWith Jeff Bingham
Indicates the specific type or nature of the relationship that an entity has with Jeff Bingham.
-
B.
relationshipToRyanBingham
Indicates the specific type of personal or social relationship an entity has with Ryan Bingham.
-
C.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
-
D.
relationshipTypeWithHudBannon
Indicates the specific nature or category of relationship that an entity has with the person or entity named Hud Bannon.
-
E.
relationshipTypeWith Alicia Johns
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
- 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a036fb4650c81908df9b9ec8ed8594b |
completed | May 12, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_6a036f64dc648190a31cf944d3ea0f7d |
completed | May 12, 2026, 6:20 p.m. |
| PDg | Predicate description generation | batch_6a036fb36c348190b56c005402b05f6c |
completed | May 12, 2026, 6:21 p.m. |
Created at: April 29, 2026, 8:46 p.m.