Triple
T33695036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Alphonse de Lamartine (Chicago) |
E863278
|
entity |
| Predicate | hasFullNameOfSubject |
P177825
|
FINISHED |
| Object | Alphonse Marie Louis de Prat de Lamartine |
—
|
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: Alphonse Marie Louis de Prat de Lamartine | Statement: [Statue of Alphonse de Lamartine (Chicago), hasFullNameOfSubject, Alphonse Marie Louis de Prat de Lamartine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullNameOfSubject Context triple: [Statue of Alphonse de Lamartine (Chicago), hasFullNameOfSubject, Alphonse Marie Louis de Prat de Lamartine]
-
A.
hasHumanSubject
Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
-
B.
hasTypicalSubject
Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
-
C.
hasFullNameLanguage
Indicates that the language in which a full name is expressed is associated with that full name.
-
D.
hasFullNameUsage
Indicates that an entity uses a particular full name in a specific context or manner.
-
E.
hasFullNameInWork
Indicates that an entity is referred to by a specific full name within a particular work or publication.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:43 a.m.