Triple
T20384378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Hayley Bell |
E497922
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jonathan Mills |
—
|
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: Jonathan Mills | Statement: [Mary Hayley Bell, child, Jonathan Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Mills Context triple: [Mary Hayley Bell, child, Jonathan Mills]
-
A.
Jonathan Mills
chosen
Jonathan Mills is a member of the British acting family headed by Sir John Mills and the brother of actress Hayley Mills.
-
B.
Duncan Mills
Duncan Mills is a music producer and mixer known for his work with a range of indie and alternative artists.
-
C.
Steve Oram
Steve Oram is a British actor, writer, and comedian known for his work in darkly comic films such as "Sightseers" and various British television series.
-
D.
Michael Buckland
Michael Buckland is an American information scientist and librarian known for his influential work on information retrieval, library services, and the theory of information systems.
-
E.
Gordon Mills
Gordon Mills was a prominent British music manager and record producer best known for shaping the careers of artists like Tom Jones and Engelbert Humperdinck.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:28 a.m.