Triple
T13977558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Hardy |
E336225
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Peter Beale |
E354397
|
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: Peter Beale | Statement: [Ben Hardy, portrayed, Peter Beale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Beale Context triple: [Ben Hardy, portrayed, Peter Beale]
-
A.
Chloe Beale
Chloe Beale is a central character in the Pitch Perfect film series, known as a passionate and upbeat member of the Barden Bellas a cappella group.
-
B.
Ian Beale
chosen
Ian Beale is a long-running fictional character from the British soap opera EastEnders, known for his role as a scheming yet often beleaguered businessman in Albert Square.
-
C.
Jamie Peacock
Jamie Peacock is a former English rugby league forward widely regarded as one of the sport’s greats, known for his successful club career with teams including the Leeds Rhinos and his leadership for Great Britain and England.
-
D.
Eric Beale
Eric Beale is a highly skilled and quirky technical operator and intelligence analyst on the television series "NCIS: Los Angeles."
-
E.
Max Beesley
Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e3cafc8190a1806a29b2e46ae9 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.