Triple
T2774390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hortense de Beauharnais |
E61533
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hortense |
E73065
|
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: Hortense | Statement: [Hortense de Beauharnais, givenName, Hortense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hortense Context triple: [Hortense de Beauharnais, givenName, Hortense]
-
A.
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.
-
B.
Hortense Mancini
Hortense Mancini was a 17th-century Italian-born noblewoman and famed beauty who became one of the most celebrated Mazarinettes at the French court and later a noted memoirist and salonnière in England.
-
C.
Hortense Fiquet
chosen
Hortense Fiquet was a French model best known as the wife and frequent portrait subject of the painter Paul Cézanne.
-
D.
Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
E.
Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc058c8a48190bbd151251678b4ee |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.