Triple
T2351634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy March |
E47460
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
March
March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
|
E259249
|
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: March | Statement: [Amy March, familyName, March]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: March Context triple: [Amy March, familyName, March]
-
A.
March
March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
-
B.
MARCH
MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
-
C.
April
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
D.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
E.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
- 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: March Triple: [Amy March, familyName, March]
Generated description
March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: March Target entity description: March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
-
A.
March
March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
-
B.
MARCH
MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
-
C.
April
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
D.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
E.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9631c9a481909a3051ac06afdca7 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae97f3e3348190824617b882a98146 |
completed | March 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae98f57268819086c14006df46b794 |
completed | March 9, 2026, 9:55 a.m. |
Created at: March 4, 2026, 7:54 p.m.