Triple
T5649815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele |
E124474
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Michèle
Michèle is a feminine given name of French origin, commonly used in French-speaking countries.
|
E539663
|
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: Michèle | Statement: [Michele, hasSpellingVariant, Michèle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michèle Context triple: [Michele, hasSpellingVariant, Michèle]
-
A.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
B.
Valérie
Valérie is a French feminine given name commonly used in Francophone countries.
-
C.
Mireille
Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
-
D.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
-
E.
Geneviève Brunet
Geneviève Brunet is an actress known for her role in the visually distinctive French fantasy film "The City of Lost Children."
- 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: Michèle Triple: [Michele, hasSpellingVariant, Michèle]
Generated description
Michèle is a feminine given name of French origin, commonly used in French-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michèle Target entity description: Michèle is a feminine given name of French origin, commonly used in French-speaking countries.
-
A.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
B.
Valérie
Valérie is a French feminine given name commonly used in Francophone countries.
-
C.
Mireille
Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
-
D.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
-
E.
Geneviève Brunet
Geneviève Brunet is an actress known for her role in the visually distinctive French fantasy film "The City of Lost Children."
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d2ed648190a5152c8668cbda02 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a218c688190879462d507f94b36 |
completed | March 22, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69c05cabceac819095c4a114220efb1a |
completed | March 22, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2b67888190bc89e4cbd384c15f |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:42 p.m.