Triple
T13099976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Dallas |
E310692
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lara Pulver |
E159568
|
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: Lara Pulver | Statement: [Josh Dallas, spouse, Lara Pulver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Pulver Context triple: [Josh Dallas, spouse, Lara Pulver]
-
A.
Lara Pulver
chosen
Lara Pulver is a British actress known for her roles in television series such as "Sherlock" and "Spooks," as well as various film and stage productions.
-
B.
Gaynor Faye
Gaynor Faye is a British actress and writer best known for her roles in popular UK television dramas and soaps such as Coronation Street and Emmerdale.
-
C.
Margot Kerr
Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
-
D.
Victoria Tennant
Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
-
E.
Isabella Colbran
Isabella Colbran was a celebrated Spanish opera singer of the early 19th century, renowned as a leading dramatic soprano and muse for many of Gioachino Rossini’s operatic roles.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5cd9f2081908c207b21a14233e1 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:04 p.m.