Triple
T12973268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jœuf |
E321455
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Jovicienne
Jovicienne is the French demonym referring to a female inhabitant or native of the town of Jœuf in northeastern France.
|
E1012971
|
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: Jovicienne | Statement: [Jœuf, hasDemonym, Jovicienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jovicienne Context triple: [Jœuf, hasDemonym, Jovicienne]
-
A.
Yovanna
Yovanna is a fictional character played by actress Adria Arjona, known from her work in film and television.
-
B.
Viviane
Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
-
C.
Tiphaine
Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
-
D.
Jovanka
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
-
E.
Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
- 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: Jovicienne Triple: [Jœuf, hasDemonym, Jovicienne]
Generated description
Jovicienne is the French demonym referring to a female inhabitant or native of the town of Jœuf in northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jovicienne Target entity description: Jovicienne is the French demonym referring to a female inhabitant or native of the town of Jœuf in northeastern France.
-
A.
Yovanna
Yovanna is a fictional character played by actress Adria Arjona, known from her work in film and television.
-
B.
Viviane
Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
-
C.
Tiphaine
Tiphaine is a French given name, notably borne by Tiphaine Auzière, the daughter of Brigitte Macron.
-
D.
Jovanka
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
-
E.
Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9db8164819086a3a27692d681d5 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:36 p.m.