Triple
T10647736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Street (United Kingdom) |
E250879
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Julia Ford |
E872206
|
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: Julia Ford | Statement: [The Street (United Kingdom), hasCastMember, Julia Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Ford Context triple: [The Street (United Kingdom), hasCastMember, Julia Ford]
-
A.
Julia Ford
chosen
Julia Ford is a British actress and director known for her work in film, television, and theatre.
-
B.
Julia Barfield
Julia Barfield is a British architect best known as the co-designer of the iconic London Eye observation wheel in London.
-
C.
Julia Mann
Julia Mann was the mother of German novelist Thomas Mann and a key figure in the prominent Mann literary family.
-
D.
Julia Wheatley
Julia Wheatley is a local political leader who serves as the mayor of Queen Creek, Arizona.
-
E.
Julia Biggs
Julia Biggs is the warm, devoted church wife and mother at the heart of the film "The Preacher's Wife," portrayed by Whitney Houston.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.