Triple
T6791261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disobedience |
E155936
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew Lowe |
E586618
|
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: Andrew Lowe | Statement: [Disobedience, producer, Andrew Lowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Lowe Context triple: [Disobedience, producer, Andrew Lowe]
-
A.
Andrew Lowe
chosen
Andrew Lowe is a film producer known for his work on acclaimed movies such as "Poor Things."
-
B.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
C.
Joe Lowry
Joe Lowry is a notable individual who shares the surname Lowry and has achieved sufficient recognition to be specifically distinguished among other bearers of the name.
-
D.
Chris Lowell
Chris Lowell is an American actor best known for his roles in television series such as "Veronica Mars," "Private Practice," and "GLOW," as well as films like "Up in the Air."
-
E.
Jeremy Lloyd
Jeremy Lloyd was a British actor and comedy writer best known for co-creating the sitcoms "Are You Being Served?" and "'Allo 'Allo!".
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.