Triple
T10368150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Santa |
E244308
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Robert Hoffman
Robert Hoffman is a film editor known for his work on the dark comedy movie "Bad Santa."
|
E896417
|
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: Robert Hoffman | Statement: [Bad Santa, editedBy, Robert Hoffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Hoffman Context triple: [Bad Santa, editedBy, Robert Hoffman]
-
A.
Robert Hoffman
Robert Hoffman is an American actor, dancer, and choreographer best known for his roles in films like "Step Up 2: The Streets" and various dance-focused performances.
-
B.
Alan Hoffman
Alan Hoffman is a mathematician known for his contributions to linear algebra and combinatorics, particularly in matrix theory and graph theory.
-
C.
Peter Hoffman
Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
-
D.
Paul Hoffman
Paul Hoffman is a common name shared by several notable individuals, including authors, journalists, and public figures across various fields.
-
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. 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: Robert Hoffman Triple: [Bad Santa, editedBy, Robert Hoffman]
Generated description
Robert Hoffman is a film editor known for his work on the dark comedy movie "Bad Santa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Hoffman Target entity description: Robert Hoffman is a film editor known for his work on the dark comedy movie "Bad Santa."
-
A.
Robert Hoffman
Robert Hoffman is an American actor, dancer, and choreographer best known for his roles in films like "Step Up 2: The Streets" and various dance-focused performances.
-
B.
Alan Hoffman
Alan Hoffman is a mathematician known for his contributions to linear algebra and combinatorics, particularly in matrix theory and graph theory.
-
C.
Peter Hoffman
Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
-
D.
Paul Hoffman
Paul Hoffman is a common name shared by several notable individuals, including authors, journalists, and public figures across various fields.
-
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. 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d65fc0948190af4356fc9f5004bb |
completed | April 18, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 6, 2026, 12:01 p.m.