Triple
T19866715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valide Hatun |
E477409
|
entity |
| Predicate | HatunMeaning |
P75337
|
FINISHED |
| Object | lady |
—
|
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: lady | Statement: [Valide Hatun, HatunMeaning, lady]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HatunMeaning Context triple: [Valide Hatun, HatunMeaning, lady]
-
A.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
B.
chantMeaning
Indicates that an entity performs or conveys the meaning or content of a chant in relation to another entity or context.
-
C.
spiritualMeaning
Indicates that one entity represents or conveys a symbolic, religious, or transcendent significance in relation to another.
-
D.
ermenMeaning
chosen
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
-
E.
ancientNameMeaning
Indicates that an entity’s ancient or historical name carries a particular meaning or interpretation.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.