Triple
T5155917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Madame d’Haussonville |
E116307
|
entity |
| Predicate | subjectSocialStatus |
P62272
|
FINISHED |
| Object | French nobility |
—
|
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: French nobility | Statement: [Portrait of Madame d’Haussonville, subjectSocialStatus, French nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectSocialStatus Context triple: [Portrait of Madame d’Haussonville, subjectSocialStatus, French nobility]
-
A.
possibleSocialStatus
Indicates that one entity may hold, attain, or be associated with a particular social status in relation to another context or system.
-
B.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
C.
socialClassSystem
Indicates a hierarchical organization of people into social classes based on status, power, or economic position.
-
D.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
E.
socialClassAtBirth
Indicates the social class or socioeconomic status into which an individual was born.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.