Triple
T17623597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Dracula (Love at First Bite) |
E429771
|
entity |
| Predicate | loveInterestIs |
P7325
|
FINISHED |
| Object | reincarnation of his past love |
—
|
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: reincarnation of his past love | Statement: [Count Dracula (Love at First Bite), loveInterestIs, reincarnation of his past love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loveInterestIs Context triple: [Count Dracula (Love at First Bite), loveInterestIs, reincarnation of his past love]
-
A.
loveInterest
chosen
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
B.
loveInterestType
Indicates the specific kind or category of romantic or affectionate relationship that exists between the related entities.
-
C.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
-
D.
attitudeTowardLove
Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
-
E.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dba664c81909dcaf44779db5565 |
completed | April 19, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.