Triple
T30281127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paige Hardaway |
E770094
|
entity |
| Predicate | relationshipStatusWithSam |
P203838
|
FINISHED |
| Object | on-and-off girlfriend |
—
|
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: on-and-off girlfriend | Statement: [Paige Hardaway, relationshipStatusWithSam, on-and-off girlfriend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithSam Context triple: [Paige Hardaway, relationshipStatusWithSam, on-and-off girlfriend]
-
A.
relationshipToSamson
Indicates the specific type of relationship or connection an entity has to Samson.
-
B.
relationshipToSamStone
Indicates the specific familial, social, or professional relationship that an entity has to Sam Stone.
-
C.
relationshipTypeWithSamMalone
Indicates the specific nature or category of relationship that an entity has with Sam Malone.
-
D.
relationshipToHamm
Indicates that one entity stands in a specified relationship to the entity referred to as Hamm.
-
E.
relationshipToAlice
Indicates the specific type of relationship or connection that an entity has with Alice.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a021f84715881908e25b6548e7cf62e |
completed | May 11, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_6a021739b7288190a4ca94c04074c78a |
completed | May 11, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_6a021f8366c08190bc790e47b0acc7a9 |
completed | May 11, 2026, 6:27 p.m. |
Created at: April 29, 2026, 7:45 p.m.