Triple
T15576319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holby City |
E374377
|
entity |
| Predicate | originallyShotOn |
P119255
|
FINISHED |
| Object | single-camera setup |
—
|
LITERAL 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: single-camera setup | Statement: [Holby City, originallyShotOn, single-camera setup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyShotOn Context triple: [Holby City, originallyShotOn, single-camera setup]
-
A.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
-
B.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
C.
shotDuring
Indicates that one event or action of shooting occurred within the temporal span of another specified event or time period.
-
D.
cameraBranding
Indicates that one entity serves as the brand or branding designation associated with a camera or camera product.
-
E.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
- F. None of above. chosen
Provenance (4 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.