Triple
T1883213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Louise |
E39898
|
entity |
| Predicate | canBeShortenedTo |
P32259
|
FINISHED |
| Object | Marie |
E27948
|
NE FINISHED |
How this triple was built (3 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: Marie | Statement: [Marie-Louise, canBeShortenedTo, Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Context triple: [Marie-Louise, canBeShortenedTo, Marie]
-
A.
Marie
chosen
Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
-
B.
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.
-
C.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
D.
Madeleine
Madeleine is a feminine given name, commonly used in French and English, derived from Magdalene and often associated with literary and cultural figures.
-
E.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeShortenedTo Context triple: [Marie-Louise, canBeShortenedTo, Marie]
-
A.
isCommonAbbreviation
chosen
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
B.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
C.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
-
D.
bearerShortName
Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
-
E.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
- F. None of above.
Provenance (4 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3042bdf08190bf43c9246fcc114e |
completed | March 9, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.