Triple
T6332955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poor Things |
E142424
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Andrew Lowe
Andrew Lowe is a film producer known for his work on acclaimed movies such as "Poor Things."
|
E586618
|
NE FINISHED |
How this triple was built (4 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: [Poor Things, producer, Andrew Lowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Lowe Context triple: [Poor Things, producer, Andrew Lowe]
-
A.
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."
-
B.
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.
-
C.
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."
-
D.
Jesse Hartley
Jesse Hartley was a 19th-century British civil engineer and dock architect best known for designing and overseeing the construction of Liverpool’s pioneering dock systems.
-
E.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Andrew Lowe Triple: [Poor Things, producer, Andrew Lowe]
Generated description
Andrew Lowe is a film producer known for his work on acclaimed movies such as "Poor Things."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Lowe Target entity description: Andrew Lowe is a film producer known for his work on acclaimed movies such as "Poor Things."
-
A.
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."
-
B.
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.
-
C.
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."
-
D.
Jesse Hartley
Jesse Hartley was a 19th-century British civil engineer and dock architect best known for designing and overseeing the construction of Liverpool’s pioneering dock systems.
-
E.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
- F. None of above. chosen
Provenance (5 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60424a5dc8190820970fce13776ac |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c60626724881908e6270c2d3652c16 |
completed | March 27, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c606bd2228819082fcb63493664927 |
completed | March 27, 2026, 4:25 a.m. |
Created at: March 22, 2026, 4:30 p.m.