Triple
T35031409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cat in the Brain |
E1010491
|
entity |
| Predicate | partlyReusesFootageFrom |
P179517
|
FINISHED |
| Object | earlier Lucio Fulci films |
—
|
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: earlier Lucio Fulci films | Statement: [Cat in the Brain, partlyReusesFootageFrom, earlier Lucio Fulci films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyReusesFootageFrom Context triple: [Cat in the Brain, partlyReusesFootageFrom, earlier Lucio Fulci films]
-
A.
usesUnusedFootageOf
Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
-
B.
usesArchivalFootageFrom
chosen
Indicates that one entity incorporates or includes archival footage originating from another entity.
-
C.
includesNewFootageWith
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
D.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
E.
reusedInRemake
Indicates that an element from an original work (such as a scene, character, or plot device) is used again in its remake.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.