Triple
T1309183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie |
E27948
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object |
Marié
Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
|
E148882
|
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: Marié | Statement: [Marie, hasAlternativeSpelling, Marié]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marié Context triple: [Marie, hasAlternativeSpelling, Marié]
-
A.
Bride
The Bride symbolizes the Shekhinah, representing the feminine, immanent presence of the Divine in Jewish mysticism.
-
B.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
-
C.
A Wedding
"A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
-
D.
Goodbye Marie
"Goodbye Marie" is a country song recorded by Kenny Rogers about a bittersweet farewell to a lover.
-
E.
D’eux
D’eux is a hugely successful French-language studio album by Canadian singer Celine Dion, widely regarded as one of the best-selling Francophone albums of all time.
- 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: Marié Triple: [Marie, hasAlternativeSpelling, Marié]
Generated description
Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marié Target entity description: Marié is a given name variant of Marie, commonly used in French and other Romance-language contexts.
-
A.
Bride
The Bride symbolizes the Shekhinah, representing the feminine, immanent presence of the Divine in Jewish mysticism.
-
B.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
-
C.
A Wedding
"A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
-
D.
Goodbye Marie
"Goodbye Marie" is a country song recorded by Kenny Rogers about a bittersweet farewell to a lover.
-
E.
D’eux
D’eux is a hugely successful French-language studio album by Canadian singer Celine Dion, widely regarded as one of the best-selling Francophone albums of all time.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c139551081908ad8eb670c621fff |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30b45708190aaf8c977fef2500c |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb389ab248190b67eb802ed1ac01f |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb423e2948190b3927d2f041b6215 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:51 p.m.