Triple
T16810946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Bowlby |
E408606
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | April |
E6412
|
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: April | Statement: [April Bowlby, givenName, April]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: April Context triple: [April Bowlby, givenName, April]
-
A.
April
chosen
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
B.
Aprile
Aprile is a fictional character in Robert Browning’s dramatic poem "Paracelsus," representing the idealistic, art-driven counterpart to Paracelsus’s pursuit of knowledge and power.
-
C.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
D.
May
May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
-
E.
March
March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2d0793c81909d938ac174a6e63a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.