Triple
T21055343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sermons |
E518693
|
entity |
| Predicate | hasNotableExcerpt |
P64118
|
FINISHED |
| Object | No man is an island, entire of itself |
—
|
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: No man is an island, entire of itself | Statement: [Sermons, hasNotableExcerpt, No man is an island, entire of itself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableExcerpt Context triple: [Sermons, hasNotableExcerpt, No man is an island, entire of itself]
-
A.
hasExcerpt
chosen
Indicates that one entity contains or is associated with a selected portion or extract taken from another entity.
-
B.
hasNotableSentence
Indicates that an entity is associated with a particularly important, famous, or otherwise noteworthy sentence.
-
C.
hasNotablePhrase
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
D.
hasNotableExpositor
Indicates that an entity has a person or source that is especially recognized for explaining, interpreting, or presenting it.
-
E.
hasExcerptsPublishedOn
Indicates that certain excerpts from a work or content have been published on a specified platform, medium, or outlet.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7edb8481908e4dc7573f7fa98f |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:36 p.m.