Triple
T33748075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Two Magots |
E864753
|
entity |
| Predicate | hasEnglishNameVariant |
P192666
|
FINISHED |
| Object | The Two Magots |
—
|
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: The Two Magots | Statement: [The Two Magots, hasEnglishNameVariant, The Two Magots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishNameVariant Context triple: [The Two Magots, hasEnglishNameVariant, The Two Magots]
-
A.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
B.
hasOfficialNameVariant
Indicates that an entity has an alternative official form or version of its name.
-
C.
hasEthnonymVariant
Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
-
D.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
E.
hasStandardizedNameInEnglish
Indicates that an entity is associated with a specific standardized or officially recognized name expressed in English.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: May 1, 2026, 1:45 a.m.