Triple
T19422795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Hodge |
E485898
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Rufus Norris |
—
|
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: Rufus Norris | Statement: [Douglas Hodge, hasWorkedWith, Rufus Norris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufus Norris Context triple: [Douglas Hodge, hasWorkedWith, Rufus Norris]
-
A.
Rufus Norris
chosen
Rufus Norris is a British theatre and film director who has served as artistic director of London’s National Theatre.
-
B.
Richard Howell
Richard Howell was an American Revolutionary War officer and the third Governor of New Jersey, serving from 1794 to 1801.
-
C.
Julian Fry
Julian Fry was the son of influential British art critic and painter Roger Fry, associated with the Bloomsbury Group.
-
D.
Ian Black
Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
-
E.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632159d7081909d004544ec5992c0 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.