Triple
T20701866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl Next Door |
E508803
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Jeff Seckendorf
Jeff Seckendorf is an American cinematographer and filmmaker known for his work on feature films, television, and commercials, including the teen comedy "The Girl Next Door."
|
E1496437
|
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 Seckendorf | Statement: [The Girl Next Door, cinematography, Jeff Seckendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Seckendorf Context triple: [The Girl Next Door, cinematography, Jeff Seckendorf]
-
A.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
B.
Mark Weitz
Mark Weitz is an American musician best known as the keyboardist for the 1960s rock band Strawberry Alarm Clock.
-
C.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
D.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
-
E.
Mike Sievert
Mike Sievert is an American business executive best known for leading T-Mobile US through its high-growth, "Un-carrier" strategy and major merger with Sprint.
- 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 Seckendorf Triple: [The Girl Next Door, cinematography, Jeff Seckendorf]
Generated description
Jeff Seckendorf is an American cinematographer and filmmaker known for his work on feature films, television, and commercials, including the teen comedy "The Girl Next Door."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Seckendorf Target entity description: Jeff Seckendorf is an American cinematographer and filmmaker known for his work on feature films, television, and commercials, including the teen comedy "The Girl Next Door."
-
A.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
B.
Mark Weitz
Mark Weitz is an American musician best known as the keyboardist for the 1960s rock band Strawberry Alarm Clock.
-
C.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
D.
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
-
E.
Mike Sievert
Mike Sievert is an American business executive best known for leading T-Mobile US through its high-growth, "Un-carrier" strategy and major merger with Sprint.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1dff1fbc819091ff7495d1cc222c |
completed | May 17, 2026, 7:58 p.m. |
| NEDg | Description generation | batch_6a0a1eac9b648190881c97d474762fc0 |
completed | May 17, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1f3b77488190bfb73b9e83446bb3 |
completed | May 17, 2026, 8:04 p.m. |
Created at: April 16, 2026, 12:12 p.m.