Triple
T10465466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Education |
E246782
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Matthew Beard |
E218648
|
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: Matthew Beard | Statement: [An Education, castMember, Matthew Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Beard Context triple: [An Education, castMember, Matthew Beard]
-
A.
Matthew Beard
chosen
Matthew Beard is a British actor known for his roles in films such as "The Imitation Game" and various television and stage productions.
-
B.
Matt Beard
Matt Beard is an English football manager known for coaching top women’s clubs, including a stint in the National Women's Soccer League with the Boston Breakers.
-
C.
Paul Beard
Paul Beard is a British guitarist and musical director best known for his work with artists such as James Blunt.
-
D.
Gareth Bacon
Gareth Bacon is a British Conservative Party politician and Member of Parliament known for representing the Orpington constituency.
-
E.
Charlie Bewley
Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
- 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_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.