Triple
T13072053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock of Ages |
E329480
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Toby Jaffe
Toby Jaffe is a film producer known for working on major Hollywood projects, including the musical comedy adaptation "Rock of Ages."
|
E1023769
|
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: Toby Jaffe | Statement: [Rock of Ages, producer, Toby Jaffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Jaffe Context triple: [Rock of Ages, producer, Toby Jaffe]
-
A.
Toby Halbrooks
Toby Halbrooks is an American filmmaker and screenwriter known for his frequent collaborations with director David Lowery on independent and studio films.
-
B.
Toby Domzalski
Toby Domzalski is a main character in Guillermo del Toro’s animated Tales of Arcadia trilogy, known as the loyal, comedic best friend who becomes a courageous hero in the series.
-
C.
Toby Jessel
Toby Jessel was a British Conservative politician who served for many years as the Member of Parliament for Twickenham.
-
D.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
E.
Toby Kagan
Toby Kagan is a person notable enough to be recognized as a bearer of the surname Kagan.
- 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: Toby Jaffe Triple: [Rock of Ages, producer, Toby Jaffe]
Generated description
Toby Jaffe is a film producer known for working on major Hollywood projects, including the musical comedy adaptation "Rock of Ages."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toby Jaffe Target entity description: Toby Jaffe is a film producer known for working on major Hollywood projects, including the musical comedy adaptation "Rock of Ages."
-
A.
Toby Halbrooks
Toby Halbrooks is an American filmmaker and screenwriter known for his frequent collaborations with director David Lowery on independent and studio films.
-
B.
Toby Domzalski
Toby Domzalski is a main character in Guillermo del Toro’s animated Tales of Arcadia trilogy, known as the loyal, comedic best friend who becomes a courageous hero in the series.
-
C.
Toby Jessel
Toby Jessel was a British Conservative politician who served for many years as the Member of Parliament for Twickenham.
-
D.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
E.
Toby Kagan
Toby Kagan is a person notable enough to be recognized as a bearer of the surname Kagan.
- 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_69f6ead460908190a566f5416e456aeb |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ee17be908190a11e00204df2cbf4 |
completed | May 3, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef02a6848190849876a0a6f32ffd |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 9 p.m.