Triple
T9055797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight Time |
E216991
|
entity |
| Predicate | followsInCatalog |
P19933
|
FINISHED |
| Object | songs exploring working-class struggles by Bruce Springsteen |
—
|
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: songs exploring working-class struggles by Bruce Springsteen | Statement: [Straight Time, followsInCatalog, songs exploring working-class struggles by Bruce Springsteen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInCatalog Context triple: [Straight Time, followsInCatalog, songs exploring working-class struggles by Bruce Springsteen]
-
A.
belongsToCatalogOf
chosen
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
B.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
C.
followsInTracklist
Indicates that one item directly comes after another in an ordered tracklist sequence.
-
D.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
E.
followsInText
Indicates that one textual element appears immediately or subsequently after another within the same text.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.