Triple
T14566250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Umbrella Academy |
E341791
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Steve Blackman |
E1107307
|
NE 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: Steve Blackman | Statement: [The Umbrella Academy, developer, Steve Blackman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Blackman Context triple: [The Umbrella Academy, developer, Steve Blackman]
-
A.
Steve Blackman
chosen
Steve Blackman is a television writer and producer best known for developing and showrunning the Netflix superhero series "The Umbrella Academy."
-
B.
David Blackman
David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
-
C.
Bob Blackman
Bob Blackman is a British Conservative Party politician and Member of Parliament known for representing a London constituency and his work on housing and homelessness issues.
-
D.
Neil Black
Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
-
E.
Jeremy Black
Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b4013881908fddb8b3cf8494de |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.