Triple
T17726482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorelei Lee |
E442473
|
entity |
| Predicate | relationshipToDorothyShaw |
P128759
|
FINISHED |
| Object | best friend |
—
|
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: best friend | Statement: [Lorelei Lee, relationshipToDorothyShaw, best friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDorothyShaw Context triple: [Lorelei Lee, relationshipToDorothyShaw, best friend]
-
A.
relationshipStatusWithDeckardShaw
Indicates the nature or state of the relationship an entity has with Deckard Shaw, such as whether they are allies, enemies, or otherwise connected.
-
B.
relationshipTypeWithJudyBarton
Indicates the specific nature or category of relationship that an entity has with Judy Barton.
-
C.
relationshipToDianaGoodman
Indicates a specified type of relationship or connection that an entity has to Diana Goodman.
-
D.
relationshipToTracyTurnblad
Indicates the specific familial, social, or interpersonal connection that one entity has to Tracy Turnblad.
-
E.
relationshipTypeWithDeborahOwens
Indicates the specific nature or category of relationship an entity has with Deborah Owens.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:07 a.m.