Triple
T29218416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cord of Life |
E740740
|
entity |
| Predicate | hasSectionRoleInSong |
P83678
|
FINISHED |
| Object | opening main section of And You and I |
—
|
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: opening main section of And You and I | Statement: [Cord of Life, hasSectionRoleInSong, opening main section of And You and I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionRoleInSong Context triple: [Cord of Life, hasSectionRoleInSong, opening main section of And You and I]
-
A.
hasRoleInSong
Indicates that an entity participates in a song with a specific role (e.g., singer, composer, producer).
-
B.
hasSectionRole
chosen
Indicates that an entity holds a specific role or function within a particular section or subdivision of a larger structure or context.
-
C.
hasRapSectionBy
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
D.
hasChantLikeSections
Indicates that something contains portions that resemble or function like chants in style, rhythm, or delivery.
-
E.
featuresACapellaSections
Indicates that the subject contains one or more sections performed a cappella, without instrumental accompaniment.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 28, 2026, 12:14 p.m.