Triple
T33925815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lo |
E869746
|
entity |
| Predicate | workTitleCharacterOf |
P161382
|
FINISHED |
| Object | Lolita |
—
|
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: Lolita | Statement: [Lo, workTitleCharacterOf, Lolita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleCharacterOf Context triple: [Lo, workTitleCharacterOf, Lolita]
-
A.
workTitleOfCharacter
chosen
Indicates that the specified work (e.g., book, film, game) is the title in which the given character appears.
-
B.
sourceWorkTitleCharacter
Indicates that a character appears in, or is associated with, a specific source work identified by its title.
-
C.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
D.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
-
E.
workTitleType
Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that work.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.