Triple
T23881791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lygon family |
E600221
|
entity |
| Predicate | linkedToLiterature |
P29936
|
FINISHED |
| Object | Brideshead Revisited |
—
|
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: Brideshead Revisited | Statement: [Lygon family, linkedToLiterature, Brideshead Revisited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToLiterature Context triple: [Lygon family, linkedToLiterature, Brideshead Revisited]
-
A.
hasLiteraryConnection
chosen
Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
-
B.
literarySource
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
C.
literaryParallels
Indicates a relationship where one work, passage, or element in literature mirrors, echoes, or structurally resembles another in theme, style, plot, or characterization.
-
D.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
E.
literaryInfluence
Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05e4d48190864fc47bdffa4ca9 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:24 p.m.