Triple
T10619730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Chapman |
E250165
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chapman |
E72439
|
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: Chapman | Statement: [Ray Chapman, familyName, Chapman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapman Context triple: [Ray Chapman, familyName, Chapman]
-
A.
Chapman
chosen
Chapman is a surname most famously associated with Graham Chapman, a British comedian, writer, and member of the Monty Python comedy group.
-
B.
Chapman
Chapman is a small city in Dickinson County, Kansas, known for its rural Midwestern character and tight-knit community.
-
C.
Charleson
Charleson is a Scottish surname most notably associated with actor Ian Charleson, known for his role in the film "Chariots of Fire."
-
D.
Champ
Champ is a supporting character in the action-spy film "Kingsman: The Golden Circle," serving as a high-ranking member of the American Statesman organization.
-
E.
Champ
Champ is the nickname of Champ Clark, an influential early 20th-century American Democratic politician who served as Speaker of the U.S. House of Representatives.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:42 p.m.