Triple
T20769009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maud Chaworth |
E511174
|
entity |
| Predicate | inheritedFrom |
P3800
|
FINISHED |
| Object | Isabel de Beauchamp |
—
|
NE NERFINISHED |
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: Isabel de Beauchamp | Statement: [Maud Chaworth, inheritedFrom, Isabel de Beauchamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabel de Beauchamp Context triple: [Maud Chaworth, inheritedFrom, Isabel de Beauchamp]
-
A.
Isabella de Beauchamp
chosen
Isabella de Beauchamp was an English noblewoman of the late 13th and early 14th centuries, a member of the powerful Beauchamp family and wife of Hugh Despenser the Elder.
-
B.
Isabelle
Isabelle is a feminine given name of French origin, commonly used in many countries and cultures.
-
C.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
D.
Isabelle
Isabelle is a prominent interactive theorem prover and proof assistant widely used in formal verification and mathematical logic research.
-
E.
Isabelle
Isabelle is a central character in the 2010 science fiction action film "Predators," portrayed as one of the elite human warriors stranded on an alien game preserve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24fa1b08190b09ab8fcb87b5c01 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.