Triple
T3401516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoré |
E71662
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object |
Honorée
Honorée is the French feminine given name corresponding to Honoré, traditionally meaning "honored" or "esteemed."
|
E358746
|
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: Honorée | Statement: [Honoré, hasFeminineForm, Honorée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honorée Context triple: [Honoré, hasFeminineForm, Honorée]
-
A.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
B.
Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
-
C.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
D.
Madame Hedouin
Madame Hédouin is a business-savvy, independent shop owner in Émile Zola’s novel "Pot-Bouille," representing the emerging class of self-reliant bourgeois women in 19th-century Paris.
-
E.
Germaine
Germaine is a central character in Steve Martin’s play "Picasso at the Lapin Agile," serving as the sharp-witted barmaid who anchors the action in the Parisian café.
- 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: Honorée Triple: [Honoré, hasFeminineForm, Honorée]
Generated description
Honorée is the French feminine given name corresponding to Honoré, traditionally meaning "honored" or "esteemed."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honorée Target entity description: Honorée is the French feminine given name corresponding to Honoré, traditionally meaning "honored" or "esteemed."
-
A.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
B.
Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
-
C.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
D.
Madame Hedouin
Madame Hédouin is a business-savvy, independent shop owner in Émile Zola’s novel "Pot-Bouille," representing the emerging class of self-reliant bourgeois women in 19th-century Paris.
-
E.
Germaine
Germaine is a central character in Steve Martin’s play "Picasso at the Lapin Agile," serving as the sharp-witted barmaid who anchors the action in the Parisian café.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360b8a5a88190a6c29b438bfec09d |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b361c3f7508190aacfc24528546614 |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36249b50881909ebae2d35b30cc1c |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:14 p.m.