Triple
T14746037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson Lamb |
E346470
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mick Herron |
E346469
|
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: Mick Herron | Statement: [Jackson Lamb, creator, Mick Herron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mick Herron Context triple: [Jackson Lamb, creator, Mick Herron]
-
A.
Mick Herron
chosen
Mick Herron is a British crime novelist best known for his acclaimed Slough House espionage series featuring disgraced MI5 agents.
-
B.
Linwood Barclay
Linwood Barclay is a Canadian author best known for his bestselling crime and thriller novels, often featuring ordinary people caught in extraordinary and suspenseful situations.
-
C.
Ben Aaronovitch
Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
-
D.
Jefferson Caffery
Jefferson Caffery was a prominent 20th-century American diplomat who served as U.S. ambassador to several key countries, including Brazil, France, and Egypt.
-
E.
Nathan Barr
Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b43360481908dc73d5e6758fea6 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:30 a.m.