Triple
T10468140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange |
E246855
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Samuel Barnett |
E327200
|
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 Barnett | Statement: [Strange, hasCastMember, Samuel Barnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Barnett Context triple: [Strange, hasCastMember, Samuel Barnett]
-
A.
Samuel Barnett
chosen
Samuel Barnett is an English actor best known for originating the role of Posner in Alan Bennett’s play "The History Boys" on stage and screen.
-
B.
Samuel Barnett
Samuel Barnett was a British clergyman and social reformer best known for pioneering the university settlement movement and co-founding Toynbee Hall in London’s East End.
-
C.
Samuel Garbett
Samuel Garbett was an 18th-century English industrialist and merchant from Birmingham, known for his role in the early chemical industry and his involvement in the influential Lunar Society.
-
D.
Samuel Bayliss
Samuel Bayliss was a notable local figure significant enough to have Bayliss Park named in his honor, likely for his contributions to the surrounding community or its development.
-
E.
Andrew Bennison
Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.