Triple
T18144895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh David |
E434359
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Compact |
—
|
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: Compact | Statement: [Hugh David, notableWork, Compact]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Compact Context triple: [Hugh David, notableWork, Compact]
-
A.
Compact
chosen
"Compact" is a 1960s British television series in which Carole Ann Ford appeared, best known as a BBC drama set in the world of magazine publishing.
-
B.
Slimm
Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
-
C.
Mini
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
-
D.
Mini
Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
-
E.
Concise
Concise is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de32d3f88190bd9f406729716407 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.