Triple
T7424067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aida |
E171323
|
entity |
| Predicate | loveInterestDescription |
P7325
|
FINISHED |
| Object | Egyptian soldier |
—
|
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: Egyptian soldier | Statement: [Aida, loveInterestDescription, Egyptian soldier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loveInterestDescription Context triple: [Aida, loveInterestDescription, Egyptian soldier]
-
A.
loveInterest
chosen
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
B.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
-
C.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
D.
primaryInterest
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for another entity.
-
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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.