Triple
T38138068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canticle |
E952402
|
entity |
| Predicate | isInterwovenWith |
P38166
|
FINISHED |
| Object | Scarborough Fair melody |
—
|
NE NERFINISHED |
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: Scarborough Fair melody | Statement: [Canticle, isInterwovenWith, Scarborough Fair melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInterwovenWith Context triple: [Canticle, isInterwovenWith, Scarborough Fair melody]
-
A.
entangledWith
chosen
Indicates a mutual state in which two or more entities are so interconnected that a change or condition in one inherently affects or constrains the other(s).
-
B.
isComponentAlongWith
Indicates that an entity functions as a component in conjunction with one or more other components, typically forming a combined or complementary unit within a larger whole.
-
C.
canBeEntangledIn
Indicates that one entity is capable of becoming physically or conceptually caught, intertwined, or ensnared within another entity or situation.
-
D.
isIntersectionOf
Indicates that something is the exact common part shared by two or more other things, typically where they overlap or meet.
-
E.
hasIntercalation
Indicates that an entity includes or undergoes the insertion of additional elements (such as units, segments, or periods) into an existing ordered sequence or structure.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.