Triple
T24628719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendly Fire |
E609611
|
entity |
| Predicate | hasMusicVideoCycle |
P130636
|
FINISHED |
| Object | interconnected narrative short films |
—
|
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: interconnected narrative short films | Statement: [Friendly Fire, hasMusicVideoCycle, interconnected narrative short films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicVideoCycle Context triple: [Friendly Fire, hasMusicVideoCycle, interconnected narrative short films]
-
A.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
B.
hasMusicVideoCharacteristic
chosen
Indicates that a music video possesses a specific attribute, feature, or quality.
-
C.
hasViralMusicVideo
Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
-
D.
hasMusicVideoForEverySong
Indicates that for each song in a given collection or repertoire, there exists a corresponding music video.
-
E.
hasMusicVideoPerformer
Indicates that a music video features a specific performer appearing or performing in it.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.