Triple
T28801620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Diaoyu Castle |
E727250
|
entity |
| Predicate | impactOnSong |
P102027
|
FINISHED |
| Object | boosted Song morale temporarily |
—
|
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: boosted Song morale temporarily | Statement: [Battle of Diaoyu Castle, impactOnSong, boosted Song morale temporarily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnSong Context triple: [Battle of Diaoyu Castle, impactOnSong, boosted Song morale temporarily]
-
A.
effectOfSong
Indicates the influence or impact that a particular song has on something, such as a listener, mood, or situation.
-
B.
lyricsInfluence
Indicates that the lyrics of one work have influenced, inspired, or shaped the lyrical content of another work.
-
C.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
-
D.
influencedMusicVideo
Indicates that one entity had a creative or conceptual impact on the style, content, or production of another entity’s music video.
-
E.
impactOnMeta
Indicates the effect or influence that one entity, action, or condition has on Meta as an outcome or consequence.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 6:27 a.m.