Triple
T13234498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Sinjohn Joseph |
E315108
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Samuel Joseph |
E318771
|
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: Samuel Joseph | Statement: [Keith Sinjohn Joseph, father, Samuel Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Joseph Context triple: [Keith Sinjohn Joseph, father, Samuel Joseph]
-
A.
Samuel Joseph
chosen
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
B.
Samuel Baum
Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
-
C.
Samuel Benn
Samuel Benn was a 19th-century American settler and entrepreneur credited as the founder of the city of Aberdeen in Washington State.
-
D.
Samuel Melvin
Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
-
E.
Samuel Lapp
Samuel Lapp is a young Amish boy in the film "Witness," whose accidental observation of a murder drives the story’s central conflict.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a35ccc88190881a7066b7af8fea |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:22 p.m.