Triple
T9965756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dauphin |
E195679
|
entity |
| Predicate | femaleEquivalent |
P1613
|
FINISHED |
| Object |
Dauphine
Dauphine is the title historically given to the wife of the Dauphin, the heir apparent to the French throne.
|
E833028
|
NE FINISHED |
How this triple was built (4 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: Dauphine | Statement: [Dauphin, femaleEquivalent, Dauphine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dauphine Context triple: [Dauphin, femaleEquivalent, Dauphine]
-
A.
Place Dauphine
Place Dauphine is a historic, triangular public square in central Paris, known for its quiet charm and classical architecture near the western end of the Île de la Cité.
-
B.
Auteuil
Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
-
C.
Juilly
Juilly is a commune in north-central France known for its historic Collège de Juilly, one of the country’s oldest educational institutions.
-
D.
Daumesnil
Daumesnil is a Paris Métro station located in the 12th arrondissement, serving as an interchange between lines 6 and 8 near Place Félix-Éboué.
-
E.
Trappes
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dauphine Triple: [Dauphin, femaleEquivalent, Dauphine]
Generated description
Dauphine is the title historically given to the wife of the Dauphin, the heir apparent to the French throne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dauphine Target entity description: Dauphine is the title historically given to the wife of the Dauphin, the heir apparent to the French throne.
-
A.
Place Dauphine
Place Dauphine is a historic, triangular public square in central Paris, known for its quiet charm and classical architecture near the western end of the Île de la Cité.
-
B.
Auteuil
Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
-
C.
Juilly
Juilly is a commune in north-central France known for its historic Collège de Juilly, one of the country’s oldest educational institutions.
-
D.
Daumesnil
Daumesnil is a Paris Métro station located in the 12th arrondissement, serving as an interchange between lines 6 and 8 near Place Félix-Éboué.
-
E.
Trappes
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
- F. None of above. chosen
Provenance (5 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23da2d7988190b8603ddb151996d9 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23eb1c1f481908404225dcccd0697 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d242aea6a08190a73a836e59865c35 |
completed | April 5, 2026, 11:08 a.m. |
Created at: March 30, 2026, 8:47 p.m.