Triple
T1016451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phyllida Law |
E21939
|
entity |
| Predicate | televisionWork |
P19219
|
FINISHED |
| Object | Inspector Morse |
E84827
|
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: Inspector Morse | Statement: [Phyllida Law, televisionWork, Inspector Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inspector Morse Context triple: [Phyllida Law, televisionWork, Inspector Morse]
-
A.
Silent Witness
Silent Witness is a long-running British crime drama television series that follows forensic pathologists as they investigate complex and often disturbing deaths.
-
B.
Colin Dexter
chosen
Colin Dexter was a British crime writer best known as the creator of the Inspector Morse detective novels, which inspired a popular television series.
-
C.
Sherlock
Sherlock is a modern television adaptation of Arthur Conan Doyle’s Sherlock Holmes stories, starring Benedict Cumberbatch as the brilliant but eccentric consulting detective in contemporary London.
-
D.
Holmes
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
E.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c1e9d08190baf7e81f3777168d |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb1b0bc819095af3b50bfebca1e |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.