Triple
T17069630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fangoria Chainsaw Award |
E414178
|
entity |
| Predicate | hasAwardedDomain |
P106208
|
FINISHED |
| Object | horror cinema |
—
|
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: horror cinema | Statement: [Fangoria Chainsaw Award, hasAwardedDomain, horror cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedDomain Context triple: [Fangoria Chainsaw Award, hasAwardedDomain, horror cinema]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
componentAwardDomain
chosen
Indicates that an award is associated with, or applies within, a specific component domain or sub-area of a broader system or context.
-
C.
hasAwardedArea
Indicates that one entity has formally granted or designated a specific area or territory to another entity.
-
D.
hasAwardedEntityType
Indicates that a particular type or category of entity is the recipient of an award or recognition.
-
E.
hasAwardedDiscipline
Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
- F. None of above.
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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.