Triple
T22022028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ironclad |
E543868
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jonathan English |
—
|
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: Jonathan English | Statement: [Ironclad, producer, Jonathan English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan English Context triple: [Ironclad, producer, Jonathan English]
-
A.
Jonathan English
chosen
Jonathan English is a British film director and screenwriter best known for historical action films such as "Ironclad."
-
B.
Alex English
Alex English is a Hall of Fame American basketball player best known as a prolific, smooth-scoring forward for the Denver Nuggets during the 1980s.
-
C.
David Blamires
David Blamires is a British-born vocalist and multi-instrumentalist best known for his work with the jazz fusion ensemble Pat Metheny Group.
-
D.
Ian Lansbury
Ian Lansbury is a television producer and member of the Lansbury family, the grandson of acclaimed actress Angela Lansbury.
-
E.
Martin Lancaster
Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.