Triple
T30107212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Love |
E765164
|
entity |
| Predicate | addresseeOfBooks1And2 |
P92617
|
FINISHED |
| Object | men |
—
|
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: men | Statement: [The Art of Love, addresseeOfBooks1And2, men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addresseeOfBooks1And2 Context triple: [The Art of Love, addresseeOfBooks1And2, men]
-
A.
addresseeOf
chosen
Indicates that one entity is the intended recipient or target audience of a communication, message, or expression from another entity.
-
B.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
C.
addresseeType
Indicates the role or category of the entity that is the intended recipient or target of a communication or message.
-
D.
addresseeDescription
Indicates that one entity provides a descriptive characterization or identifying information about the addressee of a communication or message.
-
E.
storyAddressedTo
Indicates that a story is specifically directed or intended for a particular recipient or audience.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 7:09 p.m.