Triple
T21652670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Varjak |
E534376
|
entity |
| Predicate | relationshipTypeWith Holly Golightly |
P96108
|
FINISHED |
| Object | friends-to-lovers |
—
|
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: friends-to-lovers | Statement: [Paul Varjak, relationshipTypeWith Holly Golightly, friends-to-lovers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Holly Golightly Context triple: [Paul Varjak, relationshipTypeWith Holly Golightly, friends-to-lovers]
-
A.
relationshipToHollyGolightly
chosen
Indicates the nature or type of relationship an entity has with Holly Golightly.
-
B.
relationshipTypeWithSallyBowles
Indicates the specific nature or category of relationship that an entity has with Sally Bowles.
-
C.
relativeTypeToHappyGilmore
Indicates that one entity is a specific type of relative or family relation to the entity Happy Gilmore.
-
D.
relationshipTypeWith Alicia Johns
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
-
E.
relationshipTypeWith J. C. Leyendecker
Indicates the specific type or nature of the relationship that an entity has with J. C. Leyendecker.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.