Triple
T7298119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daphne du Maurier |
E164574
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Flavia Browning
Flavia Browning is one of the daughters of renowned British novelist Daphne du Maurier.
|
E655328
|
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: Flavia Browning | Statement: [Daphne du Maurier, child, Flavia Browning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flavia Browning Context triple: [Daphne du Maurier, child, Flavia Browning]
-
A.
Flavia
Flavia is a feminine given name of Latin origin, historically used in ancient Rome and derived from the family name Flavius.
-
B.
Julia Agricola
Julia Agricola was the daughter of the Roman general Gnaeus Julius Agricola and the wife of the historian Tacitus, linking her to two prominent figures of the early Roman Empire.
-
C.
Livia Stone
Livia Stone is the wife of Biz Stone, the co-founder of Twitter and a prominent American entrepreneur.
-
D.
Aelia Flaccilla
Aelia Flaccilla was a late 4th-century Roman empress, wife of Emperor Theodosius I and a highly respected Augusta known for her piety and charitable works.
-
E.
Julia Flavia
Julia Flavia was the daughter of the Roman emperor Titus, a noblewoman of the Flavian dynasty known primarily through her familial ties to the imperial household.
- 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: Flavia Browning Triple: [Daphne du Maurier, child, Flavia Browning]
Generated description
Flavia Browning is one of the daughters of renowned British novelist Daphne du Maurier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flavia Browning Target entity description: Flavia Browning is one of the daughters of renowned British novelist Daphne du Maurier.
-
A.
Flavia
Flavia is a feminine given name of Latin origin, historically used in ancient Rome and derived from the family name Flavius.
-
B.
Julia Agricola
Julia Agricola was the daughter of the Roman general Gnaeus Julius Agricola and the wife of the historian Tacitus, linking her to two prominent figures of the early Roman Empire.
-
C.
Livia Stone
Livia Stone is the wife of Biz Stone, the co-founder of Twitter and a prominent American entrepreneur.
-
D.
Aelia Flaccilla
Aelia Flaccilla was a late 4th-century Roman empress, wife of Emperor Theodosius I and a highly respected Augusta known for her piety and charitable works.
-
E.
Julia Flavia
Julia Flavia was the daughter of the Roman emperor Titus, a noblewoman of the Flavian dynasty known primarily through her familial ties to the imperial household.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e54c25c88190891311b72f242e86 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e5ef420081908026576aaba34b11 |
completed | March 28, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e67d64748190a4b5765a06413fd6 |
completed | March 28, 2026, 2:32 p.m. |
Created at: March 27, 2026, 3 p.m.