Triple
T15138113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorine |
E361609
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Honorée |
E358746
|
NE FINISHED |
How this triple was built (2 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: Honorée | Statement: [Honorine, relatedName, Honorée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honorée Context triple: [Honorine, relatedName, Honorée]
-
A.
Honorée
chosen
Honorée is the French feminine given name corresponding to Honoré, traditionally meaning "honored" or "esteemed."
-
B.
Honorine
Honorine is a feminine given name of French origin, used both as a standalone first name and as part of compound names.
-
C.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
D.
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.
-
E.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfea8e3081909551a8e3936c13a6 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.