Triple
T12164587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw III |
E289796
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gregg Hoffman |
E976906
|
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: Gregg Hoffman | Statement: [Saw III, producer, Gregg Hoffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregg Hoffman Context triple: [Saw III, producer, Gregg Hoffman]
-
A.
Gregg Hoffman
chosen
Gregg Hoffman was an American film producer best known for helping launch and shape the successful horror franchise "Saw."
-
B.
Rob Hoffman
Rob Hoffman is a music producer best known for his work in hip-hop and R&B, including collaborations with prominent artists in the genre.
-
C.
Peter Hoffman
Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
-
D.
Michael Hoffman
Michael Hoffman is a common name shared by several notable individuals, including film directors, authors, and academics.
-
E.
Al Hoffman
Al Hoffman was a prolific American songwriter best known for co-writing numerous popular standards and classic Disney songs in the mid-20th century.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b85782481908cca14d8e8345411 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:50 p.m.