Triple
T13072050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock of Ages |
E329480
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matthew Weaver
Matthew Weaver is a film and theater producer best known for his work on the rock musical and subsequent film adaptation "Rock of Ages."
|
E1040024
|
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: Matthew Weaver | Statement: [Rock of Ages, producer, Matthew Weaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Weaver Context triple: [Rock of Ages, producer, Matthew Weaver]
-
A.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Mathew Prichard
Mathew Prichard is a British television producer and the grandson of famed mystery writer Agatha Christie, known for overseeing adaptations of her works.
-
D.
Matthew Kellard
Matthew Kellard is a screenwriter known for his work on the film "Night School."
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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: Matthew Weaver Triple: [Rock of Ages, producer, Matthew Weaver]
Generated description
Matthew Weaver is a film and theater producer best known for his work on the rock musical and subsequent film adaptation "Rock of Ages."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matthew Weaver Target entity description: Matthew Weaver is a film and theater producer best known for his work on the rock musical and subsequent film adaptation "Rock of Ages."
-
A.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
B.
Matthew Rolph
Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
-
C.
Mathew Prichard
Mathew Prichard is a British television producer and the grandson of famed mystery writer Agatha Christie, known for overseeing adaptations of her works.
-
D.
Matthew Kellard
Matthew Kellard is a screenwriter known for his work on the film "Night School."
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7396e6cf881908b4cc3836501ed08 |
completed | May 3, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69f73a7ca9048190948c1bceede2a09c |
completed | May 3, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73abc1c9481909d509eb02bafd909 |
completed | May 3, 2026, 12:08 p.m. |
Created at: April 9, 2026, 9 p.m.