Triple
T30917188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love (1927 film) |
E787612
|
entity |
| Predicate | leadCharacterBasedOn |
P170297
|
FINISHED |
| Object | Anna Karenina |
—
|
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: Anna Karenina | Statement: [Love (1927 film), leadCharacterBasedOn, Anna Karenina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterBasedOn Context triple: [Love (1927 film), leadCharacterBasedOn, Anna Karenina]
-
A.
leadCharacterField
Indicates that one entity serves as the primary or main character associated with another entity, such as a work or production.
-
B.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
C.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
D.
ledByCharacter
Indicates that an event, group, or activity is directed or guided by a specific character.
-
E.
leadCharacterActivity
Indicates that an activity is performed by, associated with, or characteristic of the lead character in a narrative or work.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b307488190a155de7798ec22fe |
completed | May 3, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:51 p.m.