Triple
T4170219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monty Python and the Holy Grail |
E84544
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael White
Michael White was a British theatrical impresario and film producer known for backing innovative stage productions and cult films, including works by Monty Python.
|
E417876
|
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: Michael White | Statement: [Monty Python and the Holy Grail, producer, Michael White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael White Context triple: [Monty Python and the Holy Grail, producer, Michael White]
-
A.
Michael Andrews
Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
-
B.
Jim White
Jim White is an American singer-songwriter known for his atmospheric, Southern Gothic-influenced alt-country music.
-
C.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
-
D.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
-
E.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
- 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: Michael White Triple: [Monty Python and the Holy Grail, producer, Michael White]
Generated description
Michael White was a British theatrical impresario and film producer known for backing innovative stage productions and cult films, including works by Monty Python.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael White Target entity description: Michael White was a British theatrical impresario and film producer known for backing innovative stage productions and cult films, including works by Monty Python.
-
A.
Michael Andrews
Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
-
B.
Jim White
Jim White is an American singer-songwriter known for his atmospheric, Southern Gothic-influenced alt-country music.
-
C.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
-
D.
Andrew Lesnie
Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
-
E.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f4ef1a08190a232ed94595a86e8 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b580e08e888190b48ddae4435c984a |
completed | March 14, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5817b52bc8190aba6863a9ef05acf |
completed | March 14, 2026, 3:40 p.m. |
Created at: March 9, 2026, 3:44 p.m.