Triple
T31617252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Men from Shiloh |
E806793
|
entity |
| Predicate | featuresNewThemeMusic |
P118333
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Men from Shiloh, featuresNewThemeMusic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresNewThemeMusic Context triple: [The Men from Shiloh, featuresNewThemeMusic, yes]
-
A.
featuresNewMusic
Indicates that something presents or includes newly released or recently created music.
-
B.
featuresNewSong
Indicates that an entity presents, includes, or showcases a newly released song.
-
C.
musicFeatured
Indicates that a particular piece of music is prominently included or used within another work, event, or context.
-
D.
themeMusicFor
Indicates that one entity serves as the theme music or signature tune specifically composed or selected for another entity, such as a show, character, or event.
-
E.
musicThemeType
chosen
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
Created at: April 30, 2026, 10:39 p.m.