Triple
T3486926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloriosus et Liber |
E73628
|
entity |
| Predicate | meaningOfWordGloriosus |
P42900
|
FINISHED |
| Object | glorious |
—
|
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: glorious | Statement: [Gloriosus et Liber, meaningOfWordGloriosus, glorious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfWordGloriosus Context triple: [Gloriosus et Liber, meaningOfWordGloriosus, glorious]
-
A.
meaningOfWord3
chosen
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
B.
latinMeaning
Indicates that one entity expresses or specifies the meaning or translation of another entity in Latin.
-
C.
glorifies
Indicates that one entity praises, exalts, or represents another in an admiring or honor-enhancing way.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9059f881908f9cbe544365c8df |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.