Triple
T18983261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Business |
E464483
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Danny Dyer |
—
|
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: Danny Dyer | Statement: [The Business, starring, Danny Dyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Dyer Context triple: [The Business, starring, Danny Dyer]
-
A.
Danny Dyer
chosen
Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
-
B.
Ian Anthony Dale
Ian Anthony Dale is an American actor best known for his roles in television series such as Hawaii Five-0, The Event, and Salvation.
-
C.
Michael Jayston
Michael Jayston is an English actor known for his work in television, film, and theatre, including prominent roles in classic British dramas and genre series.
-
D.
Pete Glenister
Pete Glenister is a British songwriter, guitarist, and producer known for his work with artists such as Alison Moyet and Kirsty MacColl.
-
E.
Douglas Hodge
Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65de6288190a53a3fdd59013d2d |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.