Triple
T30291029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Secada |
E770372
|
entity |
| Predicate | relationshipStatusWithMikeLowrey |
P152732
|
FINISHED |
| Object | complicated |
—
|
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: complicated | Statement: [Rita Secada, relationshipStatusWithMikeLowrey, complicated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithMikeLowrey Context triple: [Rita Secada, relationshipStatusWithMikeLowrey, complicated]
-
A.
relationshipStatusWithMichael
Indicates the type or state of the relationship that an entity currently has with Michael.
-
B.
relationshipToMike
chosen
Indicates the specific type of personal, social, or familial relationship that an entity has with Mike.
-
C.
relationshipTypeWithMikeEngleby
Indicates the specific nature or category of relationship that an entity has with Mike Engleby.
-
D.
relationshipToMichelle
Indicates the specific type of relationship or connection that an entity has to Michelle.
-
E.
relationshipToEthanLeary
Indicates the nature or type of relationship an entity has with Ethan Leary.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a022348ae2881908eae1be79b6f6ff6 |
completed | May 11, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_6a0220beb6b08190981fb86363757517 |
completed | May 11, 2026, 6:32 p.m. |
Created at: April 29, 2026, 7:47 p.m.