Triple
T14816349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulalie Mackecknie Shinn |
E348326
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Eulalie
Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
|
E1122481
|
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: Eulalie | Statement: [Eulalie Mackecknie Shinn, hasGivenName, Eulalie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eulalie Context triple: [Eulalie Mackecknie Shinn, hasGivenName, Eulalie]
-
A.
Delphine
Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
-
B.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
C.
Laureline
Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
-
D.
Muriel
Muriel is a feminine given name of French origin that has been borne by various notable figures, including politicians, writers, and artists.
-
E.
Odalie
Odalie is the central protagonist of the work "Odalie Misses Mass," around whom the story’s events and themes revolve.
- 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: Eulalie Triple: [Eulalie Mackecknie Shinn, hasGivenName, Eulalie]
Generated description
Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eulalie Target entity description: Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
-
A.
Delphine
Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
-
B.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
C.
Laureline
Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
-
D.
Muriel
Muriel is a feminine given name of French origin that has been borne by various notable figures, including politicians, writers, and artists.
-
E.
Odalie
Odalie is the central protagonist of the work "Odalie Misses Mass," around whom the story’s events and themes revolve.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5178e8b481909c88ee7db29f037c |
completed | May 8, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5217512c8190b0cea476f4b95007 |
completed | May 8, 2026, 9:13 p.m. |
Created at: April 10, 2026, 1:49 a.m.