Triple
T36272838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Suspicions of Mr Whicher |
E892720
|
entity |
| Predicate | hasTelevisionSpecialFormat |
P197402
|
FINISHED |
| Object | feature-length drama |
—
|
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: feature-length drama | Statement: [The Suspicions of Mr Whicher, hasTelevisionSpecialFormat, feature-length drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionSpecialFormat Context triple: [The Suspicions of Mr Whicher, hasTelevisionSpecialFormat, feature-length drama]
-
A.
hasTVSpecial
Indicates that an entity has an associated television special featuring it as the main subject or focus.
-
B.
recordedForTelevisionSpecial
Indicates that an event, performance, or production was captured on video specifically for broadcast as a television special.
-
C.
isTelevisionChristmasSpecial
Indicates that the subject is a television program specifically produced or designated as a Christmas-themed special.
-
D.
hasStandUpSpecial
Indicates that an entity has created, performed, or released a stand-up comedy special.
-
E.
includesSpecialEpisodes
Indicates that the subject collection or series contains one or more special, non-regular episodes.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
| PDg | Predicate description generation | batch_69fe8f730bb88190975bffd49f5e0f3b |
completed | May 9, 2026, 1:35 a.m. |
Created at: May 3, 2026, 4:09 p.m.