Triple
T20492537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Limey |
E502780
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Hardy |
—
|
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: John Hardy | Statement: [The Limey, producer, John Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hardy Context triple: [The Limey, producer, John Hardy]
-
A.
John Hardy
chosen
John Hardy is a film producer best known for his work on the influential independent drama "Sex, Lies, and Videotape."
-
B.
Peter Dawes
Peter Dawes is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
-
C.
David Webb
David Webb is the true identity of Jason Bourne, the amnesiac assassin protagonist of Robert Ludlum’s Bourne series.
-
D.
Michael Hill
Michael Hill is a film editor known for his work on the drama film "Life as a House."
-
E.
John Davinier
John Davinier is a character in the historical drama film "Belle," depicted as a passionate idealist and love interest of the title character, Dido Elizabeth Belle.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.