Triple
T34277754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galfridus |
E879507
|
entity |
| Predicate | equivalentFormInOldFrench |
P179876
|
FINISHED |
| Object | Gaufroi |
—
|
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: Gaufroi | Statement: [Galfridus, equivalentFormInOldFrench, Gaufroi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentFormInOldFrench Context triple: [Galfridus, equivalentFormInOldFrench, Gaufroi]
-
A.
equivalentEnglishForm
Indicates that two expressions share the same meaning in English, serving as equivalent linguistic forms.
-
B.
FrenchForm
Indicates that one entity is a form, version, or expression of another specifically in the French language.
-
C.
cognateInFrench
Indicates that a given word has a corresponding French word with a common etymological origin and similar form or meaning.
-
D.
equivalentTitleInFrench
Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
-
E.
equivalentFormInPortuguese
Indicates that one linguistic form has an equivalent expression or representation in Portuguese.
- F. None of above. chosen
Provenance (4 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f728a1a0d081909e1b4465e7b88390 |
completed | May 3, 2026, 10:51 a.m. |
Created at: May 1, 2026, 1:56 a.m.