Triple
T24985436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Lost Love |
E625293
|
entity |
| Predicate | hasAssociatedActress |
P160083
|
FINISHED |
| Object | Sasha Czack |
—
|
NE NERFINISHED |
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: Sasha Czack | Statement: [Long Lost Love, hasAssociatedActress, Sasha Czack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedActress Context triple: [Long Lost Love, hasAssociatedActress, Sasha Czack]
-
A.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
B.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
C.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
-
D.
mostAssociatedActor
Indicates that the referenced actor is the one most strongly or frequently associated with a given entity, event, or context compared to other possible actors.
-
E.
associatedWithProducerOfFilm
Indicates that one entity has an association or connection with the producer of a particular film.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6018f91248190985323d1a678e539 |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 18, 2026, 6:03 a.m.