Triple
T15625339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safety Not Guaranteed |
E375662
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jeff Schwensen
Jeff Schwensen is a central character in the indie sci-fi comedy film "Safety Not Guaranteed," involved in the story surrounding a mysterious time-travel classified ad.
|
E1266921
|
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: Jeff Schwensen | Statement: [Safety Not Guaranteed, mainCharacter, Jeff Schwensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Schwensen Context triple: [Safety Not Guaranteed, mainCharacter, Jeff Schwensen]
-
A.
Jeff Swenty
Jeff Swenty is a video game programmer known for his work on the expansion pack Doom 3: Resurrection of Evil.
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Dan Schwalm
Dan Schwalm is a film editor best known for his work on the Academy Award–winning documentary "My Octopus Teacher."
-
D.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
E.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
- 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: Jeff Schwensen Triple: [Safety Not Guaranteed, mainCharacter, Jeff Schwensen]
Generated description
Jeff Schwensen is a central character in the indie sci-fi comedy film "Safety Not Guaranteed," involved in the story surrounding a mysterious time-travel classified ad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Schwensen Target entity description: Jeff Schwensen is a central character in the indie sci-fi comedy film "Safety Not Guaranteed," involved in the story surrounding a mysterious time-travel classified ad.
-
A.
Jeff Swenty
Jeff Swenty is a video game programmer known for his work on the expansion pack Doom 3: Resurrection of Evil.
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Dan Schwalm
Dan Schwalm is a film editor best known for his work on the Academy Award–winning documentary "My Octopus Teacher."
-
D.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
E.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7dc75ec8190ac3072f9d1b10ac7 |
completed | May 11, 2026, 9:56 a.m. |
| NEDg | Description generation | batch_6a01a8b82bc88190826a9a9bf21d0da6 |
completed | May 11, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a92899bc8190823c3aa6d6a8e13f |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 4:14 a.m.