Triple
T33878049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. Paul Emanuel |
E868408
|
entity |
| Predicate | hasGuardianOrPatron |
P93049
|
FINISHED |
| Object |
Madame Walravens
Madame Walravens is a wealthy, elderly, and imperious Belgian Catholic woman who serves as M. Paul Emanuel’s patron and benefactress in Charlotte Brontë’s novel "Villette."
|
E2071633
|
NE FINISHED |
How this triple was built (3 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: Madame Walravens | Statement: [M. Paul Emanuel, hasGuardianOrPatron, Madame Walravens]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Madame Walravens Triple: [M. Paul Emanuel, hasGuardianOrPatron, Madame Walravens]
Generated description
Madame Walravens is a wealthy, elderly, and imperious Belgian Catholic woman who serves as M. Paul Emanuel’s patron and benefactress in Charlotte Brontë’s novel "Villette."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuardianOrPatron Context triple: [M. Paul Emanuel, hasGuardianOrPatron, Madame Walravens]
-
A.
hasGuardianReview
Indicates that something has been reviewed or critiqued in a piece published by The Guardian.
-
B.
hasGuardianCharacter
chosen
Indicates that one entity serves as a guardian or protective character for another entity.
-
C.
hasGuardianCommunity
Indicates that an entity is under the protection, oversight, or care of a specific guardian community.
-
D.
hasGuardianAppointment
Indicates that an entity has a scheduled or established appointment with a designated guardian responsible for their care or representation.
-
E.
hasGuardianFigureType
Indicates the type or role of a guardian figure associated with an entity.
- F. None of above.
Provenance (6 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36762c4df881908ebcbdba7dc99957 |
completed | June 20, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a3676e442208190b316373c4b23df03 |
completed | June 20, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3677b8a3748190895cb5ccd2f90f6b |
completed | June 20, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:48 a.m.