Triple
T2657718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelin' Man |
E54653
|
entity |
| Predicate | hasMusicVideoStyle |
P21659
|
FINISHED |
| Object | travelogue-style montage |
—
|
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: travelogue-style montage | Statement: [Travelin' Man, hasMusicVideoStyle, travelogue-style montage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicVideoStyle Context triple: [Travelin' Man, hasMusicVideoStyle, travelogue-style montage]
-
A.
musicVideoStyle
chosen
Indicates the stylistic or aesthetic approach used in the creation or presentation of a music video.
-
B.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
C.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
D.
musicVideoType
Indicates the specific category or format of a music video associated with a musical work or artist.
-
E.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94c61a08190bdf5e1caeff3e788 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.