Triple
T16457560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50/50 |
E399720
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Will Reiser
Will Reiser is an American screenwriter best known for writing the semi-autobiographical cancer comedy-drama film "50/50."
|
E1214694
|
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: Will Reiser | Statement: [50/50, screenwriter, Will Reiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Reiser Context triple: [50/50, screenwriter, Will Reiser]
-
A.
Leon Reiser
Leon Reiser is the son of American actor and comedian Paul Reiser.
-
B.
Fred Reif
Fred Reif was an influential American physicist and physics educator known for his pioneering work in physics education research and authorship of widely used physics textbooks.
-
C.
Hans Reiser
Hans Reiser is an American computer programmer best known for creating the ReiserFS file system for the Linux operating system.
-
D.
Robert Scheifler
Robert Scheifler is a computer scientist best known for leading the development of the X Window System at MIT.
-
E.
Bob Tischler
Bob Tischler is an American comedy and music producer best known for his work with The Blues Brothers and on various comedy recordings.
- 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: Will Reiser Triple: [50/50, screenwriter, Will Reiser]
Generated description
Will Reiser is an American screenwriter best known for writing the semi-autobiographical cancer comedy-drama film "50/50."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Reiser Target entity description: Will Reiser is an American screenwriter best known for writing the semi-autobiographical cancer comedy-drama film "50/50."
-
A.
Leon Reiser
Leon Reiser is the son of American actor and comedian Paul Reiser.
-
B.
Fred Reif
Fred Reif was an influential American physicist and physics educator known for his pioneering work in physics education research and authorship of widely used physics textbooks.
-
C.
Hans Reiser
Hans Reiser is an American computer programmer best known for creating the ReiserFS file system for the Linux operating system.
-
D.
Robert Scheifler
Robert Scheifler is a computer scientist best known for leading the development of the X Window System at MIT.
-
E.
Bob Tischler
Bob Tischler is an American comedy and music producer best known for his work with The Blues Brothers and on various comedy recordings.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a004fb5c28c81909da3d7b9b5c2be72 |
completed | May 10, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00504d177c8190b4a4b4202d0167bb |
completed | May 10, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:10 a.m.