Triple
T25713405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnificent |
E644793
|
entity |
| Predicate | hasSpokenTheme |
P97577
|
FINISHED |
| Object | spirituality |
—
|
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: spirituality | Statement: [Magnificent, hasSpokenTheme, spirituality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenTheme Context triple: [Magnificent, hasSpokenTheme, spirituality]
-
A.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
B.
hasSpokenWordIntro
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
C.
hasSayingTheme
chosen
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
D.
hasSpokenStandard
Indicates that an entity has spoken using a recognized standard form of a language (e.g., standard dialect or official register).
-
E.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 21, 2026, 9:21 p.m.