Triple
T13902497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pass |
E334259
|
entity |
| Predicate | filmEditingBy |
P14416
|
FINISHED |
| Object |
Mark Trend
Mark Trend is a film editor known for his work on the movie "The Pass."
|
E1068751
|
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: Mark Trend | Statement: [The Pass, filmEditingBy, Mark Trend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Trend Context triple: [The Pass, filmEditingBy, Mark Trend]
-
A.
Mark Tarlov
Mark Tarlov was an American film producer, director, and winemaker known for producing movies such as "Copycat" and later founding acclaimed Oregon wineries.
-
B.
Mark Belt
Mark Belt is the original name of the city now known as Pearland, Texas.
-
C.
Mark Roule
Mark Roule is a musician best known as a guitarist associated with the new wave band Tom Tom Club.
-
D.
Mark Wendland
Mark Wendland is an American scenic designer known for his innovative and visually striking sets for Broadway productions and other theatrical works.
-
E.
Mark Seelig
Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
- 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: Mark Trend Triple: [The Pass, filmEditingBy, Mark Trend]
Generated description
Mark Trend is a film editor known for his work on the movie "The Pass."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Trend Target entity description: Mark Trend is a film editor known for his work on the movie "The Pass."
-
A.
Mark Tarlov
Mark Tarlov was an American film producer, director, and winemaker known for producing movies such as "Copycat" and later founding acclaimed Oregon wineries.
-
B.
Mark Belt
Mark Belt is the original name of the city now known as Pearland, Texas.
-
C.
Mark Roule
Mark Roule is a musician best known as a guitarist associated with the new wave band Tom Tom Club.
-
D.
Mark Wendland
Mark Wendland is an American scenic designer known for his innovative and visually striking sets for Broadway productions and other theatrical works.
-
E.
Mark Seelig
Mark Seelig is a musician and composer known for his work in ambient and shamanic music, often featuring overtone and devotional chanting.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c83a3e04819097b6e0b5a3161b9a |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.