Triple
T24022781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aidan Shaw |
E594869
|
entity |
| Predicate | relationshipStatusWithCarrie |
P154902
|
FINISHED |
| Object | engaged (formerly) |
—
|
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: engaged (formerly) | Statement: [Aidan Shaw, relationshipStatusWithCarrie, engaged (formerly)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithCarrie Context triple: [Aidan Shaw, relationshipStatusWithCarrie, engaged (formerly)]
-
A.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
B.
relationshipStatusWithMichael
Indicates the type or state of the relationship that an entity currently has with Michael.
-
C.
relationshipStatusWithAnna
Indicates the type or state of the relationship that an entity currently has with Anna.
-
D.
relationshipStatusWithKarenCartwright
Indicates the nature or current state of the relationship that an entity has with Karen Cartwright.
-
E.
relationshipToEmmaCarew
Indicates a specified type of personal or social relationship that an entity has with Emma Carew.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7680d5c81908d6a670159879236 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:52 p.m.