Triple
T29550589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Hull |
E749755
|
entity |
| Predicate | createsContentAbout |
P194606
|
FINISHED |
| Object | animated 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: animated films | Statement: [Brian Hull, createsContentAbout, animated films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createsContentAbout Context triple: [Brian Hull, createsContentAbout, animated films]
-
A.
createsContentFor
Indicates that one entity produces or generates content intended to be used by or directed toward another entity.
-
B.
publishesContent
Indicates that one entity makes content created by another entity publicly available or distributed through some medium.
-
C.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
D.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
E.
fictionalContent
Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 28, 2026, 5:11 p.m.