Triple
T22546933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoda Penmark |
E557453
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | William March |
—
|
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: William March | Statement: [Rhoda Penmark, creator, William March]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William March Context triple: [Rhoda Penmark, creator, William March]
-
A.
William March
chosen
William March was an American author best known for his 1954 psychological horror novel "The Bad Seed," which became a classic of the genre and inspired multiple adaptations.
-
B.
William Whitaker
William Whitaker was a prominent British geologist and hydrogeologist known for his pioneering work on the geology and groundwater resources of England and Wales.
-
C.
Robert March
Robert March is a fictional character from Louisa May Alcott’s novel "Little Women," known as the gentle, principled father of the March sisters.
-
D.
William Irwin
William Irwin was a 19th-century American politician who served as Governor of California from 1875 to 1880.
-
E.
Walter March
Walter March was a German architect best known for designing Berlin’s Olympiastadion, the main venue of the 1936 Olympic Games.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.