Triple
T29031080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Bartley |
E737726
|
entity |
| Predicate | videoGameDebut |
P8717
|
FINISHED |
| Object | Castlevania: Bloodlines |
—
|
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: Castlevania: Bloodlines | Statement: [Elizabeth Bartley, videoGameDebut, Castlevania: Bloodlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoGameDebut Context triple: [Elizabeth Bartley, videoGameDebut, Castlevania: Bloodlines]
-
A.
videoGameDebutYear
Indicates the year in which a video game was first released or made publicly available.
-
B.
videoGameReleaseYear
Indicates the calendar year in which a particular video game was released.
-
C.
videoGame
chosen
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
D.
originalGamesYear
Indicates the year in which the original version of the game was first released.
-
E.
gameConsoleOfFirstAppearance
Indicates the video game console on which an entity (such as a character, item, or game series) first appeared.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 9:55 a.m.