Triple
T17852682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Kross |
E445847
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Stephen Daldry |
E118951
|
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: Stephen Daldry | Statement: [David Kross, workedWith, Stephen Daldry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Daldry Context triple: [David Kross, workedWith, Stephen Daldry]
-
A.
Stephen Daldry
chosen
Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
-
B.
Simon Gavron
Simon Gavron is the father of British-American actor Rafi Gavron.
-
C.
Danny Boyle
Danny Boyle is an acclaimed British film director and producer known for movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
-
D.
Thomas Eyre
Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
-
E.
Max Minghella
Max Minghella is a British actor and filmmaker known for roles in films like "The Social Network" and the series "The Handmaid's Tale."
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4900113f881908859f212c6ca3d9b |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c5ffcbc819086aec86f37c9c81c |
completed | May 12, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:17 a.m.