Triple
T14239513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Books Doctor Who range |
E352969
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Malcolm Hulke |
E1107184
|
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: Malcolm Hulke | Statement: [Target Books Doctor Who range, hasContributor, Malcolm Hulke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Hulke Context triple: [Target Books Doctor Who range, hasContributor, Malcolm Hulke]
-
A.
Malcolm Hulke
chosen
Malcolm Hulke was a British television writer best known for his influential work on classic Doctor Who stories and other science fiction and drama series in the 1960s and 1970s.
-
B.
Malcolm Sharp
Malcolm Sharp is a relatively obscure individual whose specific achievements or public role are not widely documented.
-
C.
Murray Firth
The Moray Firth is a large triangular inlet of the North Sea on the northeast coast of Scotland, known for its rich marine wildlife and coastal landscapes.
-
D.
Anthony Bevan
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
-
E.
Cyril Hume
Cyril Hume was an American screenwriter best known for his work on numerous Hollywood films from the 1920s through the 1950s, including several notable science fiction and adventure movies.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:08 a.m.