Triple
T20407436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan (album) |
E500506
|
entity |
| Predicate | mainlyConsistsOf |
P82021
|
FINISHED |
| Object | outtakes |
—
|
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: outtakes | Statement: [Dylan (album), mainlyConsistsOf, outtakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyConsistsOf Context triple: [Dylan (album), mainlyConsistsOf, outtakes]
-
A.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
B.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
C.
mainlyUses
Indicates that one entity primarily relies on, employs, or utilizes another entity as its main tool, method, resource, or medium.
-
D.
servesMostly
Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
-
E.
hasPrimaryConstituent
chosen
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.