Triple
T20129672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginald Maudling |
E490854
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Bill Maudling |
—
|
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: Bill Maudling | Statement: [Reginald Maudling, child, Bill Maudling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Maudling Context triple: [Reginald Maudling, child, Bill Maudling]
-
A.
Bill Maudling
chosen
Bill Maudling is the son of British Conservative politician Reginald Maudling.
-
B.
Tom O’Brien
Tom O’Brien is an American football coach best known for revitalizing Boston College’s football program in the late 1990s and early 2000s before later leading NC State.
-
C.
Tom O’Brien
Tom O’Brien was an American actor best known for his roles in silent-era films, including prominent appearances in major 1920s productions.
-
D.
Tom O'Brien
Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
-
E.
Joe Roberts
Joe Roberts was an American silent film actor best known for his frequent collaborations with comedian Buster Keaton in the 1920s.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66760b8f08190a66fbb2e9e3925a3 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.