Triple
T10192463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Chaplin Jr. |
E238069
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Michael Chaplin |
E27481
|
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: Michael Chaplin | Statement: [Charles Chaplin Jr., sibling, Michael Chaplin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Chaplin Context triple: [Charles Chaplin Jr., sibling, Michael Chaplin]
-
A.
Michael Chaplin
chosen
Michael Chaplin is an English actor and writer best known as one of the sons of legendary filmmaker Charlie Chaplin.
-
B.
Tom Chaplin
Tom Chaplin is an English singer-songwriter best known as the lead vocalist of the alternative rock band Keane.
-
C.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
D.
John Chancellor
John Chancellor was a British colonial administrator and diplomat who served in several high-ranking imperial posts during the early 20th century.
-
E.
John Chancellor
John Chancellor was a prominent American television journalist and news anchor best known for his long tenure as a leading figure in network evening news during the mid-20th century.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317ca2cf481909cf715ef9248be3c |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:13 p.m.